{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":38,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":38,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"4eabc46852f1","filters":{"venue":"Construction Research Congress 2012"}},"results":[{"id":"W2127202902","doi":"10.1061/9780784412329.079","title":"Rethinking the Cost Estimating Process through 5D BIM: A Case Study","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; University of British Columbia","funders":"","keywords":"Building information modeling; Workflow; Predictability; Computer science; Process (computing); Software; Cost estimate; Systems engineering; Work (physics); Process management; Software engineering; Risk analysis (engineering); Engineering; Operations management; Scheduling (production processes); Business; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.1136774231503098,"gpt":0.3823808031485187,"spread":0.268703379998209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711323,0.0002185325,0.0001996744,0.0002024748,0.001051351,0.0002787256,0.0002603098,0.0001478508,0.0005245648],"category_scores_gemma":[0.0002549664,0.0001664752,0.00005608545,0.0007897243,0.0006128693,0.001546979,0.00007318758,0.001110242,0.0001124892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466894,"about_ca_system_score_gemma":0.0000831377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001985129,"about_ca_topic_score_gemma":0.0001528628,"domain_scores_codex":[0.9975173,0.0003811722,0.0004054651,0.0002469551,0.0007235546,0.0007255811],"domain_scores_gemma":[0.998351,0.000347525,0.00007711405,0.0004554693,0.0006036419,0.0001652821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009284821,0.0004072334,0.1133733,0.0005030777,0.0006464578,0.0004320403,0.0557269,0.007962846,0.0006773644,0.06793032,0.01150919,0.7407385],"study_design_scores_gemma":[0.005784876,0.0004866057,0.005168442,0.0008175488,0.0004088466,0.05707695,0.4861174,0.3475072,0.007376565,0.02734878,0.05892691,0.002979845],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607748,0.001190109,0.02343285,0.0001785069,0.006766362,0.001583755,0.0000153176,0.0005163176,0.005541931],"genre_scores_gemma":[0.9950666,0.00002157867,0.003350377,0.00001767541,0.0008934613,0.0004464854,0.000005550668,0.00004189556,0.0001564099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7377586,"threshold_uncertainty_score":0.8086247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159120942","doi":"10.1061/9780784412329.087","title":"Application of Microsoft Kinect Sensor for Tracking Construction Workers","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Supervisor; Tracking (education); Key (lock); Track (disk drive); Template matching; Task (project management); Tracking system; Image (mathematics); Engineering; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.04490176350274733,"gpt":0.3317320813714484,"spread":0.2868303178687011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000721308,0.000140757,0.000233238,0.0004466981,0.0001629029,0.00004879428,0.000114492,0.0001435466,0.0002233066],"category_scores_gemma":[0.0001496278,0.0001481755,0.0001303823,0.0005384111,0.0004161433,0.0004734343,0.00002037279,0.0002513039,0.00005942046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008311611,"about_ca_system_score_gemma":0.00002803555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001839212,"about_ca_topic_score_gemma":0.00000819466,"domain_scores_codex":[0.998566,0.00009003421,0.0003529118,0.00018553,0.0003123581,0.0004931309],"domain_scores_gemma":[0.9985976,0.0002675621,0.00008660388,0.0002310958,0.0006443996,0.0001728005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008848077,0.00008464034,0.1380616,0.0005341067,0.0003315884,4.631052e-7,0.0001981396,0.0007833715,0.1787698,0.004179457,0.004307892,0.6726604],"study_design_scores_gemma":[0.004496936,0.0001394428,0.03804806,0.0004255841,0.0003944114,0.0003496786,0.009352949,0.04613684,0.6688201,0.003221457,0.2270556,0.001558833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267314,0.001796611,0.2615084,0.0002041658,0.003412224,0.001432735,0.0001451174,0.0004874446,0.004281956],"genre_scores_gemma":[0.9870647,0.00009254338,0.01212621,0.000005851201,0.0003470761,0.0001450168,0.00005574282,0.00003306262,0.0001298342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6711016,"threshold_uncertainty_score":0.6042422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314662668","doi":"10.1061/9780784412329.102","title":"RFID+ for Tracking Earthmoving Operations","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"RFID technology advancements","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Truck; Process (computing); Productivity; Computer science; Database; Engineering; Tracking (education); Tracking system; Real-time computing; Operating system; Automotive engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07315669702186983,"gpt":0.3702403907944811,"spread":0.2970836937726113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007031996,0.0001201906,0.0001343383,0.0003402295,0.0003741214,0.00007173933,0.0001829089,0.0001438168,0.0003486351],"category_scores_gemma":[0.0003018603,0.0001316077,0.00004054992,0.0003136833,0.0003127873,0.00121648,0.00005326744,0.0003996738,0.0001550055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109457,"about_ca_system_score_gemma":0.0000282994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003688386,"about_ca_topic_score_gemma":0.0000192139,"domain_scores_codex":[0.9985724,0.0000540692,0.0002140891,0.0001587089,0.0002596524,0.0007410564],"domain_scores_gemma":[0.9990669,0.0001656928,0.00001528789,0.0002951414,0.0003129182,0.0001440761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005038437,0.0001437277,0.06472031,0.0003383453,0.0003408892,0.000005118408,0.00053012,0.008859307,0.1104483,0.1552592,0.02161326,0.637691],"study_design_scores_gemma":[0.002821342,0.000128777,0.01372639,0.0002110652,0.00004996352,0.0002222751,0.001916143,0.04549037,0.2537642,0.003640185,0.6769175,0.001111786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.815088,0.005568659,0.1586378,0.0004837928,0.008550716,0.001950569,0.00008470538,0.001611121,0.008024585],"genre_scores_gemma":[0.9808359,0.0001159502,0.0177145,0.00001004786,0.0003483809,0.0003313051,0.00001520271,0.00004110153,0.0005875972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6553042,"threshold_uncertainty_score":0.5366808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125053417","doi":"10.1061/9780784412329.128","title":"Integrated BIM/Lean Base Production Line Schedule Model for Modular Construction Manufacturing","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Modular design; Schedule; Factory (object-oriented programming); Value stream mapping; Manufacturing engineering; Process (computing); Lean manufacturing; Building information modeling; Engineering; Systems engineering; Production line; Computer science; Industrial engineering; Scheduling (production processes); Operations management; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06540056605725332,"gpt":0.3119252680356477,"spread":0.2465247019783944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001292785,0.0003856272,0.0003497356,0.0008689213,0.0006014485,0.0001676703,0.00023908,0.0003756406,0.0003783205],"category_scores_gemma":[0.0002924154,0.0003857457,0.0001563649,0.0005565453,0.0007487037,0.001989326,0.00005644288,0.0009255793,0.0001134324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000405594,"about_ca_system_score_gemma":0.0001417188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001996217,"about_ca_topic_score_gemma":0.00003388021,"domain_scores_codex":[0.9970546,0.0001403328,0.0006162626,0.0004976247,0.0006399965,0.001051143],"domain_scores_gemma":[0.9978119,0.0001158177,0.0001150228,0.0005568304,0.0009975573,0.0004028343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004227264,0.0002241316,0.003904831,0.0007228653,0.0004427762,0.000002491027,0.0006030441,0.07453254,0.08777184,0.1144656,0.01140611,0.705501],"study_design_scores_gemma":[0.00120045,0.00007564545,0.0002492257,0.0001679565,0.00007318644,0.0003385452,0.002106773,0.6396359,0.3261286,0.007790342,0.02149555,0.0007378058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.654357,0.001190568,0.3296383,0.0003083306,0.01068705,0.001431175,0.0001287386,0.0009727657,0.001286089],"genre_scores_gemma":[0.9535231,0.0002268095,0.04292495,0.00001541895,0.00147039,0.0004907678,0.0001589402,0.00009945976,0.001090146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7047632,"threshold_uncertainty_score":0.9998595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107304599","doi":"10.1061/9780784412329.045","title":"Interface Management Model for Mega Capital Projects","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Project management triangle; Interface (matter); Project management; Documentation; Computer science; Software project management; Extreme project management; Project charter; Project management 2.0; Process management; Project planning; Interface control document; Work breakdown structure; User interface; Engineering management; Systems engineering; Engineering; OPM3; User interface design; Software development; Software","retraction":null,"screen_n_in":null,"score":{"opus":0.3189226385172213,"gpt":0.4887188466087168,"spread":0.1697962080914955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00782326,0.000237256,0.0003045421,0.001428074,0.0007296048,0.0005564869,0.0009515329,0.0001277528,0.001474572],"category_scores_gemma":[0.0007394404,0.0001962165,0.0001614388,0.001286581,0.0007883707,0.002681254,0.000601329,0.0003855507,0.0006857209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414476,"about_ca_system_score_gemma":0.0001142588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009596633,"about_ca_topic_score_gemma":0.00002361064,"domain_scores_codex":[0.9949979,0.0003123969,0.0007056781,0.0006473738,0.002199703,0.001136916],"domain_scores_gemma":[0.9966248,0.0006544411,0.0002258037,0.0008720758,0.001300451,0.0003223848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003852939,0.0001522627,0.02453243,0.0001262104,0.0001574487,0.000002058112,0.001754591,0.0003616289,0.000249963,0.2352973,0.1477826,0.5891982],"study_design_scores_gemma":[0.00342031,0.0001968901,0.004448176,0.0001099058,0.00008788044,0.0001289885,0.01918357,0.1766455,0.003518253,0.04928046,0.7419458,0.00103423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916954,0.001856447,0.2616494,0.002037482,0.01344721,0.005470768,0.0001276851,0.0003793722,0.1233362],"genre_scores_gemma":[0.932,0.0001100568,0.0133694,0.0000420466,0.0004045941,0.0004325371,0.000008125177,0.00002629387,0.05360699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5941632,"threshold_uncertainty_score":0.9994382,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169010058","doi":"10.1061/9780784412329.085","title":"Activity-Based Data Fusion for Automated Progress Tracking of Construction Projects","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Sensor fusion; Computer science; Scope (computer science); Systems engineering; Piping; Field (mathematics); Object (grammar); Identification (biology); Scalability; Engineering; Database; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1224683887234326,"gpt":0.3809785777175685,"spread":0.2585101889941359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380532,0.0002444051,0.0003237704,0.0006455431,0.0003190337,0.0001114994,0.0003923167,0.0002926797,0.0001827114],"category_scores_gemma":[0.0002312173,0.0002414429,0.00008225845,0.0007353094,0.001039854,0.001849009,0.00009209004,0.0004596979,0.00001771154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438694,"about_ca_system_score_gemma":0.0002188906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001763162,"about_ca_topic_score_gemma":0.0000191708,"domain_scores_codex":[0.9975636,0.0002314837,0.0004605398,0.0003662526,0.0006531439,0.0007249594],"domain_scores_gemma":[0.997615,0.0002966727,0.0001679157,0.000744692,0.00096905,0.0002066859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003500581,0.000191164,0.0329847,0.00108805,0.0001916013,0.000001182809,0.0001987399,0.0003400721,0.03663117,0.01305208,0.01059391,0.9043773],"study_design_scores_gemma":[0.004069237,0.0002934531,0.01268432,0.0007034639,0.0001672805,0.0003095831,0.00202615,0.5935121,0.3142268,0.0005876711,0.07030474,0.001115291],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9055588,0.002996637,0.06642731,0.0003697397,0.01349999,0.004052993,0.001047588,0.002992482,0.003054478],"genre_scores_gemma":[0.9785347,0.00005491092,0.02039209,0.000004229073,0.0004402176,0.0002477952,0.0002318532,0.00005231646,0.00004187823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.903262,"threshold_uncertainty_score":0.9845757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106145619","doi":"10.1061/9780784412329.230","title":"Design of Concession and Annual Payments for Availability Payment Public Private Partnership (PPP) Projects","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Payment; General partnership; Public–private partnership; Private sector; Public sector; Business; Asset (computer security); Finance; Work (physics); Actuarial science; Economics; Engineering; Computer science; Economic growth; Computer security; Economy","retraction":null,"screen_n_in":null,"score":{"opus":0.1902775711271272,"gpt":0.3703766024828521,"spread":0.1800990313557249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006760611,0.0002891084,0.0003943341,0.0007680095,0.0004762135,0.0004078257,0.0004480243,0.0002039999,0.0003112888],"category_scores_gemma":[0.00223269,0.0002491771,0.00007020582,0.000932229,0.001172306,0.005455588,0.0005739817,0.0003534011,0.00007356487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232334,"about_ca_system_score_gemma":0.0002003967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004358706,"about_ca_topic_score_gemma":0.000008536426,"domain_scores_codex":[0.9962239,0.0003501968,0.0005793597,0.0005562767,0.0009920199,0.001298267],"domain_scores_gemma":[0.9966885,0.0005777329,0.0004422797,0.0005204754,0.001624712,0.0001463286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001037328,0.0007239724,0.7208429,0.002116214,0.0002148516,0.000002856405,0.0005894409,0.000006044565,0.006730642,0.1820242,0.03338851,0.05232302],"study_design_scores_gemma":[0.01054819,0.000425284,0.08202351,0.0006340627,0.0002093857,0.00004445672,0.007736567,0.005484768,0.02410567,0.01401182,0.8527423,0.002034015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725336,0.001384784,0.005544253,0.002997836,0.002402195,0.007209602,0.00005087155,0.0003242309,0.007552661],"genre_scores_gemma":[0.995971,0.00003616211,0.002035727,0.000110924,0.0007815229,0.0005585995,0.00004684411,0.00004126435,0.0004180192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8193538,"threshold_uncertainty_score":0.9999961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144127793","doi":"10.1061/9780784412329.107","title":"A Hybrid Framework for Modeling Construction Operations Using Discrete Event Simulation and System Dynamics","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Discrete event simulation; Computer science; Identification (biology); System dynamics; Event (particle physics); Systems engineering; Simulation modeling; Interface (matter); Computation; Industrial engineering; Simulation; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.05537031666229703,"gpt":0.3574074173270244,"spread":0.3020371006647273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007201163,0.0002275202,0.0002452876,0.0004132767,0.0007305198,0.0002360758,0.0001010647,0.000217225,0.00005150034],"category_scores_gemma":[0.0001650026,0.0002374516,0.00007996008,0.0002741139,0.0003448342,0.001356843,0.00004399684,0.0004734388,0.00001094079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005256236,"about_ca_system_score_gemma":0.00007203817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604394,"about_ca_topic_score_gemma":0.00002020893,"domain_scores_codex":[0.9981002,0.0001521283,0.0004802593,0.000279469,0.0003963792,0.0005915514],"domain_scores_gemma":[0.9985374,0.0002277279,0.00005541002,0.000272856,0.0006545975,0.0002519858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000040656,0.00001126033,0.001697219,0.0002300173,0.00007344888,4.107403e-7,0.000129066,0.5705399,0.0004006307,0.3886358,0.00002753402,0.03821405],"study_design_scores_gemma":[0.0003307068,0.0000200336,0.00004621953,0.0001884377,0.00004351118,0.0002136875,0.002283122,0.9925967,0.0004775301,0.003167165,0.0003862026,0.0002466885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2648211,0.0006945544,0.7304008,0.00003445719,0.002898956,0.0006190904,0.00009038745,0.0002307678,0.000209864],"genre_scores_gemma":[0.9410762,0.00005670927,0.05793045,0.000003999368,0.0006393771,0.0001571178,0.00006001041,0.00004831503,0.00002786463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.676255,"threshold_uncertainty_score":0.9682996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105280861","doi":"10.1061/9780784412329.019","title":"A Conceptual Model to Develop a Worker Performance Measurement Tool to Improve Construction Productivity","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Index (typography); Construction industry; Supervisor; Knowledge management; Computer science; Performance management; Business; Process management; Engineering; Marketing; Economics; Construction engineering; Management; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.06915757848174153,"gpt":0.2981003998236081,"spread":0.2289428213418666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002056308,0.000345182,0.0003214127,0.0006294141,0.0004380291,0.000163103,0.0002706849,0.0002260099,0.000318681],"category_scores_gemma":[0.0005896856,0.0003485432,0.00006046165,0.001554709,0.000564311,0.001540411,0.0001384437,0.0007331544,0.0006009527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797885,"about_ca_system_score_gemma":0.0003813879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001331379,"about_ca_topic_score_gemma":0.00003242947,"domain_scores_codex":[0.996264,0.0001765612,0.0005403521,0.0005082526,0.001363357,0.001147461],"domain_scores_gemma":[0.996048,0.00005164586,0.00006390567,0.0005580445,0.002676443,0.0006019665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002536663,0.00007465996,0.0109349,0.00009664712,0.0001464451,8.843793e-7,0.001378365,0.006691635,0.05110904,0.03084878,0.01679424,0.8816707],"study_design_scores_gemma":[0.003699662,0.00059407,0.02972099,0.0008298183,0.0001460779,0.000756161,0.007787996,0.0607236,0.4072295,0.001438962,0.483059,0.004014205],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096354,0.0004331193,0.07416786,0.0004273735,0.007347791,0.001737907,0.00004342786,0.0005371051,0.005669976],"genre_scores_gemma":[0.9734384,0.00003773128,0.02422155,0.00004949371,0.0008133627,0.0007718613,0.000007811675,0.00005660968,0.0006031571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8776565,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4232991494","doi":"10.1061/9780784412329.119","title":"Change Management with Building Information Models: A Case Study","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Building information modeling; Context (archaeology); Ontology; Process (computing); Change management (ITSM); Process management; Information model; Position paper; Systems engineering; Software engineering; Engineering; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.0818108159702323,"gpt":0.3231261881814192,"spread":0.2413153722111869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006483488,0.0001634865,0.0001347688,0.0006103304,0.000303717,0.0001679458,0.0001114204,0.00008195701,0.0001714409],"category_scores_gemma":[0.000007576422,0.000143723,0.00002774315,0.000561755,0.0001783863,0.004739126,0.00005415983,0.0003712204,0.00008150785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533196,"about_ca_system_score_gemma":0.00001561151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212909,"about_ca_topic_score_gemma":0.0000624091,"domain_scores_codex":[0.9984373,0.0001124179,0.0002612608,0.0001310254,0.0005443256,0.0005136471],"domain_scores_gemma":[0.9990947,0.00003766207,0.00004243556,0.000287545,0.0003425632,0.0001950697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007149514,0.0001184984,0.0155575,0.0002172477,0.0002949527,0.0001438833,0.004370348,0.001038087,0.00003660131,0.07889883,0.001857916,0.8973947],"study_design_scores_gemma":[0.0122006,0.001114444,0.01201117,0.0007749771,0.0005114396,0.04766389,0.4671725,0.2135412,0.00258943,0.004661855,0.2341772,0.003581225],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941879,0.0007509185,0.03216372,0.00005280704,0.00256007,0.001871142,0.00001586001,0.0005591832,0.02014733],"genre_scores_gemma":[0.9958565,0.00007401881,0.003074549,0.00001028661,0.0002516697,0.0006259477,0.000006762393,0.00002047911,0.00007975903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8938134,"threshold_uncertainty_score":0.5860853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132272389","doi":"10.1061/9780784412329.123","title":"Data Management for Construction Processes Using Fuzzy Approach","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Fuzzy logic; Data mining; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1465404976771146,"gpt":0.3631286054562894,"spread":0.2165881077791748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040727,0.0002376199,0.0002304234,0.0005092283,0.0004660903,0.0001910452,0.0004545425,0.0001967901,0.0001596495],"category_scores_gemma":[0.0001120898,0.0002399165,0.00004187524,0.0007707591,0.0006359476,0.002139783,0.0001575079,0.000375592,0.00004344568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017741,"about_ca_system_score_gemma":0.00009649244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008353632,"about_ca_topic_score_gemma":0.000007852616,"domain_scores_codex":[0.9977257,0.0001096171,0.0004040311,0.0004072414,0.0005518626,0.0008015512],"domain_scores_gemma":[0.9981823,0.0001284358,0.00007639912,0.0007268543,0.0006478545,0.0002381424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001477328,0.0001665175,0.006412622,0.003102357,0.0005621195,0.00000184065,0.0002538876,0.001139753,0.003948016,0.2125443,0.03080963,0.7409112],"study_design_scores_gemma":[0.003164415,0.00009886448,0.0009514617,0.0003676898,0.000343586,0.001554566,0.01242172,0.07396769,0.01830124,0.009775397,0.8773426,0.001710719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06644639,0.01010583,0.7968088,0.0001594329,0.01876385,0.004579676,0.001071539,0.001582004,0.1004825],"genre_scores_gemma":[0.7123696,0.0009127168,0.282018,0.00002045758,0.002390512,0.0006497267,0.0006597658,0.0001370536,0.0008421505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.846533,"threshold_uncertainty_score":0.978351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2112414195","doi":"10.1061/9780784412329.129","title":"Integrated Building Information Model to Identify Possible Crane Instability Caused by Strong Winds","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Plan (archaeology); Selection (genetic algorithm); Systems engineering; Building information modeling; Computer science; Engineering; Risk analysis (engineering); Stability (learning theory); Construction engineering; Operations research; Operations management; Scheduling (production processes)","retraction":null,"screen_n_in":null,"score":{"opus":0.04403308173752693,"gpt":0.3415100007979205,"spread":0.2974769190603935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001162805,0.0002503487,0.0002418253,0.0006864828,0.0003520544,0.0003406669,0.0002623201,0.0002572275,0.0005872944],"category_scores_gemma":[0.0002280169,0.0002530487,0.00007009062,0.00096112,0.0003352005,0.004429191,0.00007897015,0.0007808183,0.00023329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908234,"about_ca_system_score_gemma":0.000130356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008883661,"about_ca_topic_score_gemma":0.00003898582,"domain_scores_codex":[0.9974779,0.0001668079,0.0005602768,0.0002197434,0.0007440346,0.0008311632],"domain_scores_gemma":[0.998096,0.00008990194,0.00006618156,0.0004051776,0.0008702659,0.0004725033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002232629,0.0001562616,0.03782104,0.0004295878,0.000297098,0.000001369913,0.002385321,0.02219557,0.1592424,0.07206635,0.1087546,0.5964272],"study_design_scores_gemma":[0.003924158,0.0002180751,0.02206475,0.0004748237,0.0001108581,0.0001736118,0.01041584,0.4880392,0.2107498,0.003820612,0.257497,0.002511227],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148628,0.0003954638,0.1741556,0.0001676663,0.002998798,0.0006828597,0.0002216131,0.0005325903,0.005982522],"genre_scores_gemma":[0.9957376,0.00004149983,0.003485798,0.0000261615,0.0001564323,0.0001549673,0.0001166979,0.00002992849,0.000250886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.593916,"threshold_uncertainty_score":0.9999922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2149360298","doi":"10.1061/9780784412329.105","title":"Vision-Based Recognition of Dirt Loading Cycles in Construction Sites","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Excavator; Dirt; Truck; Computer science; Automation; Cognitive neuroscience of visual object recognition; Object detection; Productivity; Machine vision; Object (grammar); Artificial intelligence; Engineering; Pattern recognition (psychology); Automotive engineering; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.09063606065440102,"gpt":0.336652430033965,"spread":0.246016369379564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001898754,0.0001272888,0.0002088195,0.0003889362,0.0002239999,0.00006464843,0.0001420655,0.0001339554,0.003979087],"category_scores_gemma":[0.0003498633,0.0001099096,0.00005752608,0.0006351742,0.0007596495,0.0009740407,0.00001452177,0.0003580082,0.0002746512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001985782,"about_ca_system_score_gemma":0.00009221421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005827679,"about_ca_topic_score_gemma":0.00105041,"domain_scores_codex":[0.9977014,0.0006412602,0.0003399882,0.0002270443,0.0005415188,0.0005487655],"domain_scores_gemma":[0.9986062,0.0005991952,0.0001136293,0.0001743067,0.0003080559,0.0001986346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007446018,0.00002610934,0.7784392,0.00003701394,0.000007180347,0.000001754034,0.00007481271,0.00003726548,0.0008054137,0.00007508648,0.0002927613,0.220129],"study_design_scores_gemma":[0.0009314283,0.0001902095,0.9780761,0.0002981399,0.00001110918,0.00006471515,0.002915312,0.002352848,0.01085199,0.001453555,0.002516361,0.0003382247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923644,0.001153344,0.00005941689,0.0001002319,0.0008912011,0.0002195433,0.00009213902,0.00004705523,0.005072674],"genre_scores_gemma":[0.9968312,0.00008455251,0.002647714,0.00001150641,0.0001479201,0.00000467201,0.0001786008,0.000005071558,0.0000887443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2197907,"threshold_uncertainty_score":0.9969314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137483074","doi":"10.1061/9780784412329.109","title":"A VR Model of Ergonomics and Productivity Assessment in Panelized Construction Production Line","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Productivity; Production line; Engineering; Work (physics); Modular design; Production (economics); Human factors and ergonomics; Process (computing); Manufacturing engineering; Computer science; Poison control","retraction":null,"screen_n_in":null,"score":{"opus":0.0701280211609226,"gpt":0.3933285403802615,"spread":0.3232005192193389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003162212,0.0001577885,0.0003849523,0.0006292386,0.0001183211,0.00001862016,0.00005454511,0.0001669646,0.00007885899],"category_scores_gemma":[0.000994451,0.0001418006,0.00006618169,0.0004812992,0.001352519,0.0006918296,0.00007370234,0.0006294553,0.000004774905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270915,"about_ca_system_score_gemma":0.0003287368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005327108,"about_ca_topic_score_gemma":0.00002156513,"domain_scores_codex":[0.9976963,0.0004482809,0.000494642,0.000391005,0.00052747,0.0004423335],"domain_scores_gemma":[0.998374,0.0001660043,0.0001646106,0.0003816273,0.0006930425,0.0002206897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001447,0.001033723,0.443769,0.002464877,0.0001209168,8.834477e-7,0.001155283,0.0003726735,0.2882499,0.01637382,0.0002204186,0.2447915],"study_design_scores_gemma":[0.006026935,0.0007517628,0.9093139,0.0009813551,0.0001205243,0.0002991446,0.006370662,0.03011918,0.03937097,0.004542803,0.001457885,0.0006449046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941699,0.0004682875,0.0008832921,0.001064172,0.0009160706,0.001346888,0.000008514048,0.00003813455,0.001104732],"genre_scores_gemma":[0.9810543,0.0003103703,0.01779305,0.00000702801,0.000319282,0.0001039238,0.00001890982,0.00001925686,0.0003738682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4655449,"threshold_uncertainty_score":0.5782461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153602116","doi":"10.1061/9780784412329.114","title":"Assessing Productivity Improvement of Quick Connection Systems in the Steel Construction Industry Using Building Information Modeling (BIM)","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Productivity; Building information modeling; Schedule; Work (physics); Engineering; Construction industry; Computer science; Construction engineering; Manufacturing engineering; Mechanical engineering; Scheduling (production processes); Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.08006876967882427,"gpt":0.3436258980644309,"spread":0.2635571283856067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003151265,0.0002342939,0.0002900167,0.0008824457,0.0003691438,0.0003724234,0.000208612,0.0004110581,0.00004416806],"category_scores_gemma":[0.0002234259,0.0002085327,0.00006655866,0.00108839,0.000414469,0.006547226,0.00005249872,0.001355522,0.000006823843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004869759,"about_ca_system_score_gemma":0.0001558776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003996234,"about_ca_topic_score_gemma":0.00002083075,"domain_scores_codex":[0.9970362,0.0004122477,0.0008360277,0.0002145273,0.0008640448,0.0006369409],"domain_scores_gemma":[0.9983487,0.0001542096,0.0002324862,0.000381887,0.0007677956,0.0001149314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001281922,0.0001823932,0.05845993,0.001425062,0.0002288808,0.000001761186,0.002318905,0.279512,0.1534023,0.1156833,0.0003053745,0.388352],"study_design_scores_gemma":[0.001662649,0.0001044307,0.004770717,0.0007826619,0.0000875959,0.0008728601,0.07630698,0.8700119,0.04018914,0.001547523,0.002855143,0.0008083405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452938,0.0006728798,0.04693178,0.00005422255,0.005113052,0.0008310268,0.00001396289,0.0001149916,0.0009743135],"genre_scores_gemma":[0.997335,0.0000396823,0.001946655,0.000005614775,0.000513889,0.0001167769,0.00001508763,0.00002153351,0.000005819423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5905,"threshold_uncertainty_score":0.8503717,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139160363","doi":"10.1061/9780784412329.050","title":"Pipe Spool Fabrication Sequencing by Automated Planning","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Fabrication; Piping; Computer science; Sequence (biology); Engineering; Manufacturing engineering; Engineering drawing; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04081120761112536,"gpt":0.3182772959842429,"spread":0.2774660883731176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000604382,0.0001393558,0.0001330706,0.000264601,0.0002422863,0.0001167172,0.000149499,0.0001326989,0.0004356186],"category_scores_gemma":[0.0001193564,0.0001441443,0.00002566027,0.0003410575,0.0001376855,0.0009855389,0.00003968318,0.0003523242,0.0001327868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286357,"about_ca_system_score_gemma":0.0000372927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001950309,"about_ca_topic_score_gemma":7.23658e-7,"domain_scores_codex":[0.9985192,0.00008513038,0.0002262931,0.0001658229,0.0004059113,0.0005975876],"domain_scores_gemma":[0.9991791,0.00009111922,0.00004482731,0.000212613,0.0002671099,0.0002052177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001161902,0.0001481287,0.06975876,0.001702638,0.0003888687,0.00001119311,0.00387406,0.1548937,0.0783739,0.003733827,0.4200734,0.2669253],"study_design_scores_gemma":[0.0009553704,0.00004386561,0.006794977,0.0002677608,0.00003255307,0.000106689,0.001320097,0.6080939,0.2435587,0.0002378854,0.1376974,0.0008907426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7979867,0.01032949,0.1460285,0.0001816577,0.006770995,0.001152622,0.00006684626,0.006210974,0.03127225],"genre_scores_gemma":[0.9967411,0.0001287343,0.002198561,0.000009534565,0.0002644039,0.00005871337,0.00006123621,0.00003674615,0.0005010044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4532002,"threshold_uncertainty_score":0.5878034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127218764","doi":"10.1061/9780784412329.054","title":"Schedule Assessment and Evaluation","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Schedule; Computer science; Scheduling (production processes); Operations research; Engineering management; Earned value management; Project management; Set (abstract data type); Risk analysis (engineering); Systems engineering; Project planning; Operations management; Engineering; Project charter; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.4041477664162544,"gpt":0.5690312109886859,"spread":0.1648834445724315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0215454,0.0001350028,0.0001957937,0.0009993914,0.0006763224,0.0005415156,0.0003525496,0.00009579813,0.008146239],"category_scores_gemma":[0.001224844,0.0001096085,0.00005101732,0.001225345,0.0008667835,0.002699049,0.0003497348,0.0004153175,0.0005995875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335944,"about_ca_system_score_gemma":0.0002238746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001516729,"about_ca_topic_score_gemma":0.00001202032,"domain_scores_codex":[0.9939622,0.001114843,0.0004876664,0.0004159228,0.003411802,0.000607582],"domain_scores_gemma":[0.996412,0.0008164893,0.0001715035,0.0005762867,0.001736821,0.0002869419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001670592,0.00002743626,0.3491867,0.000006600943,0.00001854307,3.052555e-7,0.0001012453,0.000004145118,0.0001932301,0.04536978,0.01338006,0.5916952],"study_design_scores_gemma":[0.001380477,0.0000765868,0.434332,0.00003122424,0.00003488618,0.0001222953,0.004808414,0.01352077,0.000700549,0.02005854,0.524578,0.0003562949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123638,0.001171919,0.00161621,0.001649547,0.004321417,0.0008186657,0.000008038666,0.00006463342,0.07798575],"genre_scores_gemma":[0.9926468,0.00009377499,0.003680802,0.00003424132,0.0005507718,0.0001065265,0.00000573318,0.000009731603,0.002871639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5913389,"threshold_uncertainty_score":0.9927604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105368758","doi":"10.1061/9780784412329.143","title":"A Research Framework for Work Sampling and Its Application in Developing Comparative Direct and Support Activity Proportions for Different Trades","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Crew; Sampling (signal processing); Productivity; Work (physics); Computer science; Experience sampling method; Operations research; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.3631951455388164,"gpt":0.5553289898752111,"spread":0.1921338443363946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002563343,0.0001525588,0.000292305,0.0006144338,0.0007107851,0.0001124544,0.0001121085,0.0002140087,0.000714704],"category_scores_gemma":[0.0006297576,0.0001445475,0.00004289618,0.0004682062,0.0004512899,0.0004796242,0.00007003022,0.000620379,0.00003174834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897951,"about_ca_system_score_gemma":0.00009136649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186039,"about_ca_topic_score_gemma":0.00007523919,"domain_scores_codex":[0.9975102,0.0006213873,0.000372305,0.0004355212,0.0003472568,0.0007133306],"domain_scores_gemma":[0.9945898,0.00418167,0.000131167,0.0002103315,0.0006734872,0.0002135335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001736856,0.0005354962,0.0620967,0.0003800501,0.0002109564,7.719037e-7,0.01061403,0.000003552669,0.001050229,0.7486418,0.007008984,0.1677206],"study_design_scores_gemma":[0.002314282,0.0002754402,0.75349,0.000425035,0.00002766567,0.00005409355,0.01053007,0.0008091144,0.003581553,0.01175676,0.2161606,0.0005753044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273066,0.0006205721,0.06138993,0.001888599,0.001209258,0.004833553,0.0002314775,0.0001056867,0.002414334],"genre_scores_gemma":[0.9896355,0.00005578148,0.00461351,0.00001774848,0.0002550235,0.00445051,0.00005788713,0.0000205318,0.0008934561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7368851,"threshold_uncertainty_score":0.7825508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144598083","doi":"10.1061/9780784412329.191","title":"Multi-Criteria Decision Making to Improve Performance in Construction Projects with LEED Certification","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental design; Certification; Schedule; Productivity; Popularity; Green building; Environmental economics; Process (computing); Environmental impact assessment; Sustainable design; Engineering management; Business; Computer science; Engineering; Architectural engineering; Sustainability; Civil engineering; Economics; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.05511296139069944,"gpt":0.356775126700374,"spread":0.3016621653096745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001148871,0.0001999756,0.000203105,0.0008455318,0.0001990679,0.0001627933,0.0001851387,0.0001280559,0.0001195055],"category_scores_gemma":[0.0001364423,0.0001862449,0.0000247502,0.0009324015,0.0002061722,0.001142358,0.00006952705,0.000444955,0.00006488543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447039,"about_ca_system_score_gemma":0.0001169056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001536907,"about_ca_topic_score_gemma":0.00001651401,"domain_scores_codex":[0.9978499,0.0001379014,0.0003286774,0.0003126517,0.0005232397,0.0008475594],"domain_scores_gemma":[0.9988455,0.0001461993,0.00004928334,0.0003586868,0.0003992917,0.000201025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006000412,0.0001692813,0.1761244,0.0005373677,0.00006786804,0.00001312504,0.00112614,0.003643325,0.06995939,0.002164332,0.001262176,0.7443325],"study_design_scores_gemma":[0.008264036,0.0008532478,0.5067655,0.003360226,0.00007122179,0.0007001869,0.01874139,0.2755368,0.1469676,0.0005757231,0.03540855,0.002755481],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488656,0.0002691972,0.04677499,0.00005562339,0.001843034,0.001170756,0.000005823051,0.0002061499,0.000808841],"genre_scores_gemma":[0.9424567,0.00005083405,0.05684397,0.000007713832,0.0001779856,0.0003049616,0.000005287292,0.00004031628,0.0001122032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.741577,"threshold_uncertainty_score":0.7594846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147317472","doi":"10.1061/9780784412329.039","title":"Finance-Based Scheduling for Multiple Projects with Multimode Activities","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cash flow; Finance; Scheduling (production processes); Population; Genetic algorithm; Operations research; Business; Operations management; Economics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.2749705436613488,"gpt":0.4509779102217301,"spread":0.1760073665603813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009727415,0.00036108,0.0005516759,0.0013935,0.0011252,0.0007104823,0.0009292295,0.0002645599,0.0003276105],"category_scores_gemma":[0.01031976,0.0002700854,0.0001942857,0.001612927,0.002009763,0.00222125,0.0001886045,0.0008256224,0.0001380391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877023,"about_ca_system_score_gemma":0.0009599691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006476823,"about_ca_topic_score_gemma":0.00008213837,"domain_scores_codex":[0.9928144,0.0009395302,0.0007503174,0.0008917503,0.002891281,0.001712729],"domain_scores_gemma":[0.986768,0.009352344,0.0004156946,0.001044515,0.002013822,0.0004056031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003578783,0.0005693312,0.5280178,0.0002209146,0.0002059703,0.000016488,0.002901889,0.009345886,0.01039771,0.01297871,0.003997651,0.4277688],"study_design_scores_gemma":[0.01994754,0.0015417,0.01927746,0.00100584,0.0001284837,0.0004946698,0.056114,0.4308968,0.2045958,0.004278884,0.2584704,0.003248354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892166,0.0005887047,0.1026486,0.0006323454,0.001393865,0.002524462,0.0001065387,0.0001745212,0.002714294],"genre_scores_gemma":[0.8570555,0.00001048095,0.1406953,0.00004475853,0.0005367943,0.0006565321,0.00001314961,0.00005143381,0.0009361054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5087404,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145704802","doi":"10.1061/9780784412329.130","title":"Integrating Building Information Modeling with Universal Design Requirements for Highly Accessible Homes","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"","keywords":"Building information modeling; Adaptability; Universal design; Computer science; Process (computing); Population; Architectural engineering; Built environment; Systems engineering; Design process; Software engineering; Engineering; World Wide Web; Work in process; Civil engineering; Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.0717595086824617,"gpt":0.3276354536967646,"spread":0.2558759450143029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009319281,0.000188306,0.0001743724,0.0005873746,0.0004356827,0.0002852872,0.0001905614,0.0001448523,0.000102888],"category_scores_gemma":[0.0001065753,0.0001661648,0.00004504025,0.0004932404,0.0001924813,0.005916473,0.00003627645,0.0003706085,0.00002605646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721809,"about_ca_system_score_gemma":0.0001119705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003179398,"about_ca_topic_score_gemma":0.00001086888,"domain_scores_codex":[0.9983031,0.0001043733,0.0003435772,0.0001482878,0.0004750631,0.0006256591],"domain_scores_gemma":[0.9985936,0.0001516046,0.00007596234,0.0002005935,0.0007956976,0.0001825425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005089512,0.00004888011,0.006930174,0.0004939948,0.0003581911,0.000001204864,0.001270221,0.06488516,0.0114774,0.3616596,0.006391636,0.5459746],"study_design_scores_gemma":[0.002077704,0.0001716866,0.0001688424,0.0003966024,0.00005931463,0.00009754054,0.00748044,0.9369824,0.03052837,0.003022857,0.01835269,0.0006615362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05613145,0.0003710193,0.9376341,0.00005796989,0.001698262,0.0006388719,0.00001662589,0.0003082829,0.003143463],"genre_scores_gemma":[0.9259492,0.00007088801,0.07337184,0.000008677421,0.0002752553,0.0001841426,0.00003132019,0.00002852779,0.00008017137],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8720973,"threshold_uncertainty_score":0.6776003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115758073","doi":"10.1061/9780784412329.010","title":"Modified Isolated Delay Type Technique","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0719018725165717,"gpt":0.3262338492017707,"spread":0.254331976685199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00125494,0.0001554991,0.0001647452,0.0004144167,0.0001480218,0.00005397043,0.0002015747,0.0002122821,0.0007090312],"category_scores_gemma":[0.0001168593,0.0001526863,0.00004203774,0.0006902928,0.0001702034,0.0004764929,0.00004937509,0.000571178,0.0002317669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345521,"about_ca_system_score_gemma":0.00004743874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001599209,"about_ca_topic_score_gemma":0.000003516856,"domain_scores_codex":[0.9982964,0.0001527874,0.0002377678,0.0001577986,0.0004131627,0.0007421139],"domain_scores_gemma":[0.9988734,0.00007373869,0.00002622569,0.0003385034,0.0004592068,0.0002289862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000105549,0.0001002066,0.004152393,0.0001789923,0.0001675573,0.00001163921,0.0001568943,0.00006584625,0.7071599,0.01864439,0.1838401,0.08541655],"study_design_scores_gemma":[0.0006529638,0.0001943178,0.0005443644,0.000139433,0.00003387321,0.0003962222,0.0001201853,0.005041142,0.701673,0.002440934,0.2879321,0.0008314503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2946531,0.02232769,0.3453247,0.0001712736,0.00693417,0.004155023,0.00003246716,0.00609145,0.3203102],"genre_scores_gemma":[0.9957001,0.0005046194,0.00282437,0.00001245979,0.0002165564,0.0001319487,0.00001129316,0.0000382142,0.0005604297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7010471,"threshold_uncertainty_score":0.7763394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166209964","doi":"10.1061/9780784412329.012","title":"Automation System Design and Lab Testing to Facilitate Tunnel Boring Machine Guidance in Construction of Large-Diameter Drainage Tunnels","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PCL Construction (Canada); University of Alberta","funders":"","keywords":"Automation; Context (archaeology); Engineering; Installation; Jacking; Process (computing); Marine engineering; Computer science; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0784254644892241,"gpt":0.3016692200131205,"spread":0.2232437555238964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002998941,0.0002003122,0.0003107084,0.0006673995,0.0001963741,0.00005334372,0.0001409742,0.0001507522,0.00002195189],"category_scores_gemma":[0.0006492788,0.0002076446,0.00003221002,0.0006733377,0.000111401,0.000616016,0.0001122382,0.0004066777,0.00002692023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143046,"about_ca_system_score_gemma":0.00003984646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007772204,"about_ca_topic_score_gemma":0.00001326822,"domain_scores_codex":[0.9976867,0.000389632,0.0005135005,0.0002637906,0.0004176981,0.0007286391],"domain_scores_gemma":[0.9985194,0.0005020718,0.00007935886,0.0002755687,0.0003792406,0.0002444251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003735848,0.0002360076,0.07861661,0.007852121,0.0003428056,0.00004969097,0.01175739,0.1189586,0.338553,0.05797355,0.001376058,0.3839105],"study_design_scores_gemma":[0.002182541,0.0001693692,0.01429226,0.002120004,0.00003824544,0.0004246356,0.00534918,0.9219086,0.04995253,0.0009934629,0.001729917,0.0008392532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5840781,0.00237678,0.4092302,0.00004423919,0.002075691,0.0008837945,0.00007050958,0.0004584246,0.0007822535],"genre_scores_gemma":[0.9383635,0.00002807095,0.06131385,0.000003337595,0.0001075487,0.0000804977,0.00000449481,0.00003472928,0.00006397584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.80295,"threshold_uncertainty_score":0.8467501,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162237076","doi":"10.1061/9780784412329.011","title":"A Decision-Support Model Utilizing a Linear Cost Optimization Approach for Heavy Equipment Selection","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Earthworks; Visual Basic for Applications; Task (project management); Selection (genetic algorithm); Computer science; Operations research; Decision support system; Renting; Heavy equipment; Linear programming; Industrial engineering; Systems engineering; Engineering; Civil engineering; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.07869549746287131,"gpt":0.3466490606688981,"spread":0.2679535632060268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212231,0.0002382302,0.0002412452,0.0005439158,0.0004907795,0.000137532,0.0001724308,0.0002758563,0.0004059763],"category_scores_gemma":[0.0001544321,0.0002422079,0.0001090619,0.0005947271,0.000251647,0.001280577,0.00004967817,0.0004811593,0.00003419219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003730376,"about_ca_system_score_gemma":0.0001468291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007366066,"about_ca_topic_score_gemma":0.000005973312,"domain_scores_codex":[0.9976611,0.00009519433,0.0004737094,0.0003222933,0.0006224416,0.0008253067],"domain_scores_gemma":[0.9983374,0.0001587702,0.00007138704,0.0002643216,0.0008456076,0.00032246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002122592,0.00009989955,0.0009975142,0.0001377657,0.0000909412,2.226111e-7,0.0002075391,0.7425593,0.001406877,0.02033474,0.01126899,0.222684],"study_design_scores_gemma":[0.000685765,0.00004490161,0.00002992576,0.00003177513,0.0000221256,0.00008834877,0.0004966391,0.9841518,0.00357831,0.0002925524,0.01032979,0.0002480506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003384673,0.0003801991,0.9848789,0.00003621809,0.002018345,0.001215813,0.00004280843,0.0003648127,0.007678229],"genre_scores_gemma":[0.4667967,0.0002028955,0.5300167,0.00002561683,0.0007618197,0.001242517,0.0001627837,0.00008343413,0.0007075568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4634121,"threshold_uncertainty_score":0.9876952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2332618398","doi":"10.1061/9780784412329.078","title":"Providing Query Support to Leverage BIM for Construction","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Building information modeling; Leverage (statistics); Ontology; Flexibility (engineering); Software engineering; Systems engineering; Database; Data mining; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.06356479648402116,"gpt":0.3390595780029677,"spread":0.2754947815189465,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00113449,0.000257391,0.0002696425,0.0007487162,0.000457061,0.0001897787,0.0002132004,0.0002523119,0.0008929899],"category_scores_gemma":[0.0002342642,0.0002680089,0.00009888976,0.0006550032,0.0004007531,0.001427673,0.00005948596,0.0004854446,0.0003694883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105367,"about_ca_system_score_gemma":0.0001348073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696722,"about_ca_topic_score_gemma":0.00002209878,"domain_scores_codex":[0.997511,0.0001317279,0.000465379,0.0003276735,0.0005505112,0.00101371],"domain_scores_gemma":[0.9981359,0.0002198678,0.00006115092,0.0003696803,0.0007162649,0.0004970895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001310928,0.00004699654,0.008962563,0.0003381018,0.0001327603,0.000001927419,0.000417356,0.0002519045,0.03015972,0.1933088,0.04805848,0.7181903],"study_design_scores_gemma":[0.001128131,0.00019272,0.001330592,0.00013142,0.00004312754,0.0004474696,0.002368121,0.001598211,0.1283912,0.003462092,0.860126,0.0007809151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4140005,0.002228183,0.4727027,0.001494909,0.04790727,0.0061958,0.0003449438,0.002585619,0.05254018],"genre_scores_gemma":[0.9754335,0.00007976466,0.02063173,0.00005519449,0.001582587,0.0007858081,0.00004751955,0.00007858002,0.001305358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8120676,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101282445","doi":"10.1061/9780784412329.038","title":"Exploring the Impact of WorkFace Planning on Labour Productivity Variance Mitigation on Industrial Construction Projects: A Mathematical Framework","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Emissions Reduction Alberta; Canadian Natural Resources; University of Alberta","funders":"","keywords":"Productivity; Process (computing); Variance (accounting); Computer science; Business; Economics; Economic growth; Accounting","retraction":null,"screen_n_in":null,"score":{"opus":0.5185756865609568,"gpt":0.4875915471333853,"spread":0.0309841394275715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01054315,0.0003211866,0.0004722979,0.001190293,0.0008842335,0.0004495081,0.0007573632,0.0002066211,0.001236867],"category_scores_gemma":[0.01012039,0.0002071129,0.0002135347,0.003304027,0.001614738,0.002743865,0.0002444642,0.001619756,0.0003470808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557513,"about_ca_system_score_gemma":0.0003090442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003988739,"about_ca_topic_score_gemma":0.000001835639,"domain_scores_codex":[0.992942,0.00159159,0.0009369887,0.0006654579,0.002968759,0.0008952319],"domain_scores_gemma":[0.9927499,0.004071233,0.0006390567,0.001191916,0.001105613,0.0002422865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001385259,0.0003284959,0.2437826,0.00005476117,0.0002053165,0.000003088096,0.002938337,0.001283379,0.0003782968,0.2879474,0.004688124,0.4570049],"study_design_scores_gemma":[0.006982895,0.003550257,0.5747442,0.004780164,0.0001846083,0.0008104199,0.05237422,0.006938636,0.03739775,0.2559733,0.05326701,0.002996559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845752,0.00007728121,0.002953176,0.0007484472,0.004106781,0.001292986,0.00003163662,0.00008254705,0.006131972],"genre_scores_gemma":[0.9956229,0.00003463516,0.001860759,0.0000152759,0.001457068,0.0002326241,0.000004009421,0.00002466718,0.0007480668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4540084,"threshold_uncertainty_score":0.9996761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123303660","doi":"10.1061/9780784412329.249","title":"Improving Concrete Trade Labor Productivity through the Use of Innovations","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Formwork; Productivity; Schedule; Modular design; Engineering; Construction industry; Unit (ring theory); Civil engineering; Computer science; Construction engineering; Economics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.08499638239499882,"gpt":0.3161857194941928,"spread":0.231189337099194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006539583,0.0001479771,0.0001737593,0.0001971736,0.0003089236,0.00009807982,0.0001717009,0.0001317808,0.0002389662],"category_scores_gemma":[0.0004166097,0.0001160546,0.00005426121,0.001021384,0.001044017,0.002143323,0.00004822087,0.0006231252,0.00002303716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008379335,"about_ca_system_score_gemma":0.00008741784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042715,"about_ca_topic_score_gemma":0.00002182483,"domain_scores_codex":[0.9982822,0.000236845,0.0003669711,0.0001711588,0.0004687981,0.0004740593],"domain_scores_gemma":[0.9985544,0.0003068276,0.00009335558,0.000440173,0.0005235943,0.00008162046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006997427,0.00003687517,0.02717541,0.0002747586,0.0002542959,9.76255e-7,0.001743738,0.0005101974,0.116764,0.4396333,0.03311413,0.3804224],"study_design_scores_gemma":[0.000840891,0.00007107528,0.01895773,0.0001067764,0.00006445767,0.0002376407,0.002722675,0.006969399,0.1656743,0.001442269,0.8023406,0.0005722584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586752,0.002969307,0.02185261,0.002095578,0.008521333,0.001357826,0.0002076723,0.000495629,0.003824829],"genre_scores_gemma":[0.9951382,0.00009486883,0.003785418,0.00002364276,0.0005092253,0.000108583,0.00001412437,0.00002784612,0.0002981462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7692264,"threshold_uncertainty_score":0.4732568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156885825","doi":"10.1061/9780784412329.055","title":"Stochastic Method for Forecasting Project Time and Cost","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Modeling, Simulation, and Optimization","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Collège de Maisonneuve; Concordia University","funders":"","keywords":"Flexibility (engineering); Earned value management; Computer science; Time horizon; Operations research; Process (computing); Project management; Industrial engineering; Duration (music); Reliability engineering; Mathematical optimization; Engineering; Project planning; Systems engineering; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.2886061941626956,"gpt":0.474298666790779,"spread":0.1856924726280834,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003062893,0.000135689,0.000212944,0.0003052843,0.0004559977,0.00009721776,0.00009250965,0.0001289743,0.0001881229],"category_scores_gemma":[0.002485411,0.0001262287,0.00004434909,0.0002338101,0.0001938606,0.0006032533,0.00006870481,0.0002026448,0.00001344715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728555,"about_ca_system_score_gemma":0.0001030362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000217344,"about_ca_topic_score_gemma":0.00001059057,"domain_scores_codex":[0.9982386,0.000291108,0.0003032729,0.0002393244,0.0003787357,0.0005489918],"domain_scores_gemma":[0.9965243,0.002117001,0.0001325177,0.0002112458,0.0008586207,0.0001563101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001014086,0.0005093207,0.005571612,0.001538149,0.0004420306,0.000002262717,0.006717248,0.01307614,0.001621991,0.3497775,0.05234431,0.5673853],"study_design_scores_gemma":[0.001006603,0.00005252361,0.00003539178,0.00007995871,0.00004601687,0.00006719027,0.0003304214,0.9760203,0.0002073773,0.01701738,0.004935191,0.0002016871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01784181,0.0002636235,0.9778708,0.0000777919,0.000476378,0.00204867,0.0000422798,0.00009012716,0.001288571],"genre_scores_gemma":[0.1604093,0.00003019495,0.8329045,0.00002078822,0.00106868,0.0005041015,0.00007751726,0.000088555,0.004896276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9629441,"threshold_uncertainty_score":0.5147458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156885087","doi":"10.1061/9780784412329.032","title":"Continuous Process Planning and Controlling Techniques for Construction Productivity Performance Enhancement","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Productivity; Mainstream; Documentation; Objectivity (philosophy); Process (computing); Accountability; Process management; Control (management); Knowledge management; Computer science; Engineering; Management science; Political science; Economics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03113701134492177,"gpt":0.3228043844898021,"spread":0.2916673731448804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188127,0.0002325769,0.0002924589,0.0003604773,0.0004942572,0.0001379921,0.0001140307,0.0001880709,0.00007952491],"category_scores_gemma":[0.0001356715,0.0002298092,0.00004041678,0.0002924365,0.0007006492,0.001474267,0.00002942855,0.0004613944,0.000009784627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257927,"about_ca_system_score_gemma":0.00005968862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004013402,"about_ca_topic_score_gemma":0.000001739968,"domain_scores_codex":[0.9981192,0.00009615333,0.0003782151,0.0003096758,0.0003924218,0.0007042831],"domain_scores_gemma":[0.998621,0.0001543531,0.00009516034,0.0002196772,0.0007169029,0.000192899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001791476,0.00004260002,0.03818799,0.0005463026,0.00009981715,4.471063e-7,0.0004491591,0.00007248189,0.03034865,0.009212003,0.0008469656,0.9200144],"study_design_scores_gemma":[0.001670778,0.0003305191,0.003209202,0.0004447262,0.00007430204,0.0005458173,0.00290441,0.01247918,0.8900084,0.001997506,0.08545892,0.0008762025],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.897745,0.003486244,0.08811088,0.0001277871,0.003508419,0.001835272,0.00002222789,0.0005824316,0.004581753],"genre_scores_gemma":[0.9891402,0.0001851403,0.008844909,0.000007798108,0.0007563376,0.0008142044,0.00001625324,0.00003672754,0.000198415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9191383,"threshold_uncertainty_score":0.9371346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150220544","doi":"10.1061/9780784412329.088","title":"Application Potential of Ultra-Wide Band Radar for Detecting Buried Obstructions in Construction","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PCL Construction (Canada); University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radar; Flooding (psychology); Engineering; Pipeline transport; Urbanization; Civil engineering; Construction engineering; Risk analysis (engineering); Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03211838441642657,"gpt":0.3319123283537727,"spread":0.2997939439373462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008396805,0.0001603469,0.0002638955,0.0003742965,0.000235035,0.00003616887,0.0001661424,0.0001648495,0.00006113104],"category_scores_gemma":[0.0003069175,0.0001757769,0.00009336429,0.0007267739,0.0004928706,0.0004803364,0.00002114782,0.0004064229,0.0000163004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078825,"about_ca_system_score_gemma":0.00003964969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004956115,"about_ca_topic_score_gemma":0.00001105972,"domain_scores_codex":[0.998238,0.0001398058,0.0004729435,0.0002436766,0.0003205843,0.0005849866],"domain_scores_gemma":[0.9984371,0.0005703822,0.0001007601,0.0003399375,0.0003740337,0.0001777897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006942399,0.0001214317,0.009681832,0.0003249136,0.00007923102,2.983811e-7,0.0001683088,0.001022211,0.6223292,0.03116829,0.000384179,0.3346507],"study_design_scores_gemma":[0.00432278,0.0001877529,0.07626263,0.0002444905,0.0001516576,0.0001675673,0.005331794,0.0138968,0.7991001,0.04886769,0.05018333,0.001283413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7013261,0.0004806639,0.2922131,0.0001672596,0.001823738,0.001595479,0.00009244167,0.0001996592,0.002101577],"genre_scores_gemma":[0.9542873,0.000055306,0.04458898,0.000002503935,0.0004425383,0.0005343692,0.00002193462,0.00003265867,0.00003442314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3333673,"threshold_uncertainty_score":0.7167974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099772501","doi":"10.1061/9780784412329.135","title":"Multi-Criteria Design Evaluation and Optimization of School Buildings Using Artificial Intelligent Approaches","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Fuzzy logic; Computer science; Building design; Quality (philosophy); Design process; Building envelope; Envelope (radar); Engineering design process; Key (lock); Architectural engineering; Artificial intelligence; Engineering; Work in process","retraction":null,"screen_n_in":null,"score":{"opus":0.2967972635434672,"gpt":0.3807382510908217,"spread":0.0839409875473544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001907719,0.0001227575,0.0001472965,0.0003553085,0.0001568466,0.00006936538,0.00008847561,0.0001386686,0.0002853601],"category_scores_gemma":[0.0002127297,0.0001301169,0.00002562399,0.0003525831,0.0002406862,0.0007819827,0.00004819001,0.0001966888,0.000002025783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001261025,"about_ca_system_score_gemma":0.00005684106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001359301,"about_ca_topic_score_gemma":0.000001458416,"domain_scores_codex":[0.9985505,0.0002744048,0.0002915036,0.0001613947,0.0003994429,0.000322718],"domain_scores_gemma":[0.9991766,0.00008304708,0.00006251301,0.0001715157,0.0003594657,0.0001468842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002595397,0.0000333778,0.0007971913,0.00004837344,0.00003464565,9.729637e-8,0.00009056094,0.9662011,0.00658169,0.001836871,0.00006846384,0.02428166],"study_design_scores_gemma":[0.0002044362,0.00001575083,0.0001473158,0.00004809032,0.00002673892,0.00001564416,0.0002149005,0.9705189,0.02843292,0.0001623184,0.00008908146,0.000123836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1072333,0.001389782,0.8899783,0.00001257925,0.0008006393,0.0004051463,0.000003493869,0.00007413087,0.000102554],"genre_scores_gemma":[0.7238116,0.0001378018,0.2758298,0.000001547477,0.0001291235,0.0000433257,0.00001257788,0.00002294083,0.000011305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6165783,"threshold_uncertainty_score":0.5306013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2134539866","doi":"10.1061/9780784412329.108","title":"A Special Purpose Simulation Template for Modeling Tire Usage of Mining Truck Fleet","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Stantec (Canada); University of Alberta","funders":"","keywords":"Truck; Computer science; Supply and demand; Transport engineering; Automotive engineering; Operations research; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1148349114035686,"gpt":0.3587659079187732,"spread":0.2439309965152045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021071,0.0001244382,0.0002181343,0.0002841157,0.0001371198,0.00004542089,0.0001484063,0.000149046,0.0003053925],"category_scores_gemma":[0.0001354822,0.0001390618,0.00007020169,0.0001413381,0.0001250449,0.0005909599,0.00005539126,0.0001937731,0.00001596765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025651,"about_ca_system_score_gemma":0.00003336019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008616152,"about_ca_topic_score_gemma":0.000008865131,"domain_scores_codex":[0.9987552,0.00004496197,0.0003643247,0.0001497045,0.000182916,0.0005029586],"domain_scores_gemma":[0.9991267,0.0002349465,0.00005754958,0.0002336951,0.0002078904,0.0001391957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003354126,0.00007605743,0.01154774,0.0007323166,0.0001927151,0.000002075088,0.002614985,0.3384836,0.002710122,0.009843894,0.02185894,0.6116022],"study_design_scores_gemma":[0.0004028016,0.00003995282,0.00009476885,0.00006990197,0.00001174649,0.00001078529,0.000449491,0.9638553,0.001817951,0.0003494496,0.03271909,0.0001787105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408773,0.0002972745,0.04890592,0.0000176437,0.002462856,0.0006444418,0.0000641849,0.0002033376,0.00652701],"genre_scores_gemma":[0.9802848,0.00005957748,0.01746267,0.000002462875,0.001894907,0.00007005437,0.00001654186,0.00003981976,0.0001691286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6253718,"threshold_uncertainty_score":0.5670777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103542225","doi":"10.1061/9780784412329.060","title":"A Semantic Approach to Representation, Sharing, and Discovery of Construction Simulation Models","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Composability; Computer science; Interoperability; Reuse; Structuring; Metadata; Ontology; Building information modeling; Semantic Web; Information model; Data modeling; Representation (politics); Software engineering; Data science; Information retrieval; World Wide Web; Distributed computing; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07197037850791876,"gpt":0.3343919906228972,"spread":0.2624216121149784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006023929,0.0001779434,0.0002473982,0.0006157457,0.0001844293,0.0001400636,0.0001375029,0.0001584672,0.00005426236],"category_scores_gemma":[0.0001105935,0.0001818789,0.00005429549,0.0006879958,0.0004988207,0.002533219,0.0000843458,0.0003144282,0.00001671088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000921344,"about_ca_system_score_gemma":0.0000336377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004699537,"about_ca_topic_score_gemma":0.000006713774,"domain_scores_codex":[0.9981715,0.000116952,0.0004474313,0.000303408,0.0005193322,0.0004413618],"domain_scores_gemma":[0.9987301,0.0001180605,0.00007865644,0.0003551924,0.0005031079,0.0002149022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001691698,0.0001348081,0.1124782,0.0005644133,0.0002515655,7.084979e-7,0.002135498,0.1576136,0.009522801,0.585997,0.001753492,0.1293788],"study_design_scores_gemma":[0.00134053,0.00008747062,0.01289423,0.0002309987,0.0000877921,0.0003324664,0.00657324,0.9364939,0.01591535,0.02188079,0.003381252,0.0007820132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6843972,0.001021932,0.294272,0.00005203081,0.001886159,0.0007619066,0.00002799101,0.0002158657,0.01736495],"genre_scores_gemma":[0.9928966,0.0001208232,0.006314279,0.000005881072,0.0002407432,0.00009067096,0.0000220715,0.00002975516,0.0002792396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7788803,"threshold_uncertainty_score":0.7416808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098019428","doi":"10.1061/9780784412329.069","title":"Construction Research Data Management","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data sharing; Data management; Workflow; Process (computing); Cloud computing; Data science; Data collection; Knowledge management; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.4217315922747766,"gpt":0.4573309598642414,"spread":0.0355993675894648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008250342,0.0002805683,0.0002865448,0.001782295,0.001358748,0.001082824,0.002031702,0.0002233074,0.005526779],"category_scores_gemma":[0.0007474954,0.0002640411,0.00005676888,0.002921473,0.002399593,0.009765868,0.003503576,0.001137659,0.00665228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347049,"about_ca_system_score_gemma":0.00008291734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000434787,"about_ca_topic_score_gemma":0.00006785304,"domain_scores_codex":[0.9943568,0.0002261451,0.0005224868,0.000870881,0.00226723,0.001756501],"domain_scores_gemma":[0.9953283,0.0002807986,0.0001780097,0.002156965,0.001939114,0.00011679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000117016,0.0001867864,0.0413598,0.0004146761,0.00008857824,0.00001505305,0.00002233921,0.000002014982,0.0002443069,0.406955,0.2370023,0.3135921],"study_design_scores_gemma":[0.0004128668,0.000008072932,0.007186763,0.0001519772,0.00003775953,0.000078162,0.001947727,0.0005741015,0.0002853342,0.006566023,0.9823996,0.0003516484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1888204,0.007833685,0.01053321,0.009355735,0.03995382,0.005296284,0.0003281196,0.001382224,0.7364965],"genre_scores_gemma":[0.9758592,0.0009416078,0.00588797,0.0002464982,0.01033559,0.0002196879,0.0008117105,0.0001067876,0.00559097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7870387,"threshold_uncertainty_score":0.9999812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167484719","doi":"10.1061/9780784412329.020","title":"A Framework for Construction Strategy Formulation and Visualization","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Adaptation (eye); Visualization; Plan (archaeology); Scheduling (production processes); Project management; Work (physics); Representation (politics); Management science; Project planning; Process management; Operations research; Systems engineering; Engineering; Artificial intelligence; Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.063021331179069,"gpt":0.3706618633868529,"spread":0.3076405322077839,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596656,0.0001871997,0.0001843185,0.0004299245,0.0003969432,0.0001749284,0.00008066358,0.0003075854,0.0002837794],"category_scores_gemma":[0.000188816,0.0001942552,0.00004492026,0.0004438679,0.000375322,0.001519287,0.0000242518,0.0003391061,0.00003030209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242513,"about_ca_system_score_gemma":0.00004546391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007197535,"about_ca_topic_score_gemma":0.000008706607,"domain_scores_codex":[0.9984057,0.0001105343,0.0003483381,0.0002212361,0.000352875,0.0005613031],"domain_scores_gemma":[0.9986877,0.0002774075,0.00006983275,0.000201158,0.0005371253,0.0002267749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003134722,0.0000121268,0.004797701,0.00009427861,0.00003339028,1.012484e-7,0.0001186641,0.00007999379,0.002149011,0.7165849,0.0008784466,0.2752201],"study_design_scores_gemma":[0.004554275,0.0006298245,0.02894411,0.0006032829,0.0002262895,0.001212978,0.01101085,0.1051965,0.1093847,0.4535444,0.2821988,0.00249388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2166998,0.002802551,0.7679032,0.0001248202,0.005919885,0.001342601,0.00006212899,0.0006272407,0.004517801],"genre_scores_gemma":[0.9770339,0.000305297,0.02139382,0.00001082815,0.000781739,0.000246514,0.00005923774,0.00004326195,0.0001254618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7603341,"threshold_uncertainty_score":0.7921495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140690096","doi":"10.1061/9780784412329.057","title":"A Framework for an Integrated and Evolutionary Body of Knowledge","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Cégep Marie-Victorin","funders":"","keywords":"Knowledge management; Computer science; Situated; Process (computing); Sustainability; Context (archaeology); Fragmentation (computing); Body of knowledge; Process management; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.05392149397242824,"gpt":0.3539983836410189,"spread":0.3000768896685906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005510151,0.0001257561,0.0001712047,0.0003367616,0.0001639208,0.00003377774,0.0001050229,0.0002076922,0.0002336792],"category_scores_gemma":[0.0001962735,0.0001206484,0.00004196669,0.0003443428,0.0006077062,0.0007845413,0.00002723886,0.0003579723,0.00001699987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007283387,"about_ca_system_score_gemma":0.00006854145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001269652,"about_ca_topic_score_gemma":0.000009356033,"domain_scores_codex":[0.9988863,0.0001285609,0.0002543951,0.0001513967,0.0001971094,0.0003822554],"domain_scores_gemma":[0.9986064,0.0002738533,0.00003870223,0.0002117476,0.0006588655,0.0002104209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001300018,0.0001208609,0.020374,0.0003136549,0.0001272611,2.14664e-7,0.000563716,0.00003590289,0.008404514,0.6441087,0.01020214,0.315619],"study_design_scores_gemma":[0.003542512,0.0009990635,0.0667478,0.0009793922,0.0001713241,0.0005439267,0.01226118,0.0715864,0.05979328,0.1176797,0.6639445,0.001750865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704618,0.01895121,0.2540487,0.0001391962,0.00956925,0.001647927,0.0002738408,0.0006456427,0.01010626],"genre_scores_gemma":[0.9769542,0.0001812531,0.02214683,0.000002804843,0.0003689185,0.0001422728,0.00002403439,0.0000251335,0.0001545719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6537424,"threshold_uncertainty_score":0.4919898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166792774","doi":"10.1061/9780784412329.140","title":"Structural Steel Fabrication Special Purpose Simulation","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Set (abstract data type); Productivity; Computer science; Fabrication; Manufacturing engineering; Industrial engineering; Simulation modeling; Systems engineering; Process management; Engineering drawing; Engineering; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.05320733784896644,"gpt":0.3312695568173818,"spread":0.2780622189684154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000550754,0.000199909,0.0001799032,0.0004595825,0.000360186,0.0001560995,0.0001788922,0.0002149184,0.002773944],"category_scores_gemma":[0.000157779,0.000200524,0.00007303934,0.000598652,0.0004089237,0.001784878,0.00004254461,0.000551579,0.0005280698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255142,"about_ca_system_score_gemma":0.00004962427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009345338,"about_ca_topic_score_gemma":0.00001409258,"domain_scores_codex":[0.997905,0.0001897358,0.0003719474,0.0002197586,0.0006570942,0.0006564967],"domain_scores_gemma":[0.9984621,0.0001653817,0.00006238895,0.0003327884,0.0007075429,0.0002697478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007154536,0.00002975004,0.03480685,0.00007927545,0.00008496895,0.000001326737,0.0005119166,0.008993432,0.004056125,0.07035615,0.01699717,0.8640115],"study_design_scores_gemma":[0.001985575,0.0001028084,0.12452,0.0001031186,0.00006901764,0.0002474902,0.002539634,0.1703831,0.01522658,0.006903641,0.6765921,0.001326904],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864174,0.002306061,0.01652969,0.0001560107,0.02857133,0.001234163,0.0000647301,0.001001681,0.06371894],"genre_scores_gemma":[0.9926868,0.00006552866,0.0008921853,0.000009562579,0.005380021,0.00007155215,0.00004568496,0.00003563508,0.0008130249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8626846,"threshold_uncertainty_score":0.9981377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017900756","doi":"10.1061/9780784412329.132","title":"Modeling Airport Check-In and Security Procedures Using SimFC","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; SAIT Polytechnic","funders":"","keywords":"Task (project management); Computer science; Service (business); Throughput; Airport security; International airport; Simple (philosophy); Resource allocation; Transport engineering; Operations research; Computer security; Engineering; Systems engineering; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.1534986736691137,"gpt":0.3542136892476606,"spread":0.200715015578547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001827728,0.0001168444,0.0002745773,0.000618764,0.00020344,0.00009643545,0.0001109946,0.000167686,0.0007609424],"category_scores_gemma":[0.0002773271,0.0001334789,0.00005126428,0.0005266463,0.0002245617,0.0009771106,0.00009064079,0.0004340031,0.00006721159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125445,"about_ca_system_score_gemma":0.00005599914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003254757,"about_ca_topic_score_gemma":0.00007688162,"domain_scores_codex":[0.9985145,0.00005911197,0.0004851515,0.0003125378,0.000113613,0.0005150624],"domain_scores_gemma":[0.9992864,0.00004357438,0.0001326561,0.0002143086,0.0001319578,0.0001910712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000140415,0.00007100086,0.8994592,0.00004376253,0.00004204344,0.000001992039,0.0004388518,0.0007264721,0.00001862835,0.09775713,0.0001912201,0.001235653],"study_design_scores_gemma":[0.002543309,0.00006627489,0.1014568,0.0002060875,0.00003106002,0.0001991381,0.005782013,0.7913333,0.000454136,0.07225094,0.02442079,0.001256161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878259,0.004026463,0.001249835,0.0002446136,0.0004112897,0.0001449499,0.00002996218,0.00002150077,0.006045516],"genre_scores_gemma":[0.9986957,0.0002077805,0.0004201646,0.00001501492,0.0002405995,0.0000214735,0.000008518615,0.00001370108,0.0003770294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7980024,"threshold_uncertainty_score":0.8331786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}