{"meta":{"query_hash":"1f2756368d4d","filters":{"venue":"International Journal of Sustainable Transportation"},"cohort_total":30,"direct_labels_cover":0,"predictions_cover":30,"exported":30,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1f2756368d4d","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Sustainable+Transportation"},"results":[{"id":"W1976298089","doi":"10.1080/15568310903093362","title":"Does an Improved Urban Bus Service Affect House Values?","year":2010,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Ministère des Transports","keywords":"Amenity; Service (business); Transport engineering; Bus network; Business; Public transport; Quality (philosophy); Service quality; Geography; Computer science; Marketing; Engineering; Finance; Control bus","score_opus":0.00879389101424333,"score_gpt":0.22215391504319223,"score_spread":0.2133600240289489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976298089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995423,0.00006564289,0.00008635757,0.00024612952,0.0000058468045,0.000006303691,0.00039302942,0.000003609887,0.0037700608],"genre_scores_gemma":[0.99936754,0.000020779054,0.00003554543,0.000015582142,0.0000031151033,0.0000014213209,0.00012775692,0.0000012386062,0.00042701588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949205,0.00015226963,0.00001892448,0.000069820104,0.000147708,0.00011910227],"domain_scores_gemma":[0.997062,0.0006071618,0.0010868156,0.0001349511,0.0006821749,0.00042682275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045629896,0.00011406799,0.00018541835,0.00037216392,0.00034680447,0.0013007511,0.00035976648,0.0003799381,0.006245827],"category_scores_gemma":[0.0037909534,0.00008281623,0.00027811155,0.0011188292,0.00052201626,0.00038078212,0.00027571147,0.0003653376,0.00039766074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016912603,0.00010940412,0.990103,0.000016895296,0.000061973704,0.000117910895,0.00046752178,0.00044016694,0.0003253231,0.0004065345,0.00059073494,0.007191442],"study_design_scores_gemma":[0.0000014485554,0.000027285772,0.998735,0.0000026674027,0.0000058471724,0.00001388969,0.00056898897,0.00022023133,0.000054951346,0.000046166828,0.00032150757,0.000002035341],"about_ca_topic_score_codex":0.27010682,"about_ca_topic_score_gemma":0.39522582,"teacher_disagreement_score":0.27010682,"about_ca_system_score_codex":0.0027296725,"about_ca_system_score_gemma":0.001181283,"threshold_uncertainty_score":0.53706926},"labels":[],"label_agreement":null},{"id":"W1981498889","doi":"10.1080/15568318.2011.631098","title":"Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cycling; Transport engineering; Sustainable transport; Climate change; Geographic information system; Order (exchange); Traffic congestion; Environmental planning; Business; Environmental resource management; Computer science; Environmental science; Sustainability; Engineering; Geography","score_opus":0.02854776611764703,"score_gpt":0.313746609657561,"score_spread":0.285198843539914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981498889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6176575,0.009066412,0.116482824,0.06733611,0.0005372727,0.0009428903,0.010861549,0.0014261653,0.17568922],"genre_scores_gemma":[0.9143749,0.0035262324,0.07567706,0.0007595126,0.000035160792,0.000079720325,0.0008534199,0.00004263428,0.004651268],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986324,0.00065838796,0.00005636845,0.00011964585,0.0003612492,0.00017178369],"domain_scores_gemma":[0.9961265,0.0013793358,0.00063365034,0.00029470734,0.0013514856,0.00021445264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002951563,0.00023063291,0.0002128299,0.0039164266,0.0014945769,0.00505881,0.0007690199,0.0006419863,0.0041278596],"category_scores_gemma":[0.011002498,0.00024693814,0.00024550522,0.004887151,0.0013146951,0.0038231467,0.0013969145,0.00053262565,0.0011048665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009281857,0.0001621524,0.31017917,0.00071244995,0.00014211462,0.00046199525,0.0107029565,0.008785766,0.0022212877,0.039418295,0.03776572,0.58935535],"study_design_scores_gemma":[0.00006571163,0.0003833227,0.4112859,0.0041096313,0.00040497028,0.0008999416,0.13460915,0.048062135,0.007525636,0.04934544,0.34275812,0.0005499633],"about_ca_topic_score_codex":0.43845057,"about_ca_topic_score_gemma":0.61088204,"teacher_disagreement_score":0.43845057,"about_ca_system_score_codex":0.0029730306,"about_ca_system_score_gemma":0.006232555,"threshold_uncertainty_score":0.871797},"labels":[],"label_agreement":null},{"id":"W1983062415","doi":"10.1080/15568318.2011.626970","title":"The Paradox of Public Transport Peak Spreading: Universities and Travel Demand Management","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Public transport; Demand management; Travel behavior; Transport engineering; Passenger transport; Business; Economics; Economic geography; Engineering; Macroeconomics","score_opus":0.01323562835027279,"score_gpt":0.271960706721115,"score_spread":0.2587250783708422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983062415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210652,0.0009546279,0.009659162,0.014760059,0.00005122408,0.000039864564,0.0001765633,0.00004766207,0.05324558],"genre_scores_gemma":[0.99846965,0.00011351471,0.00023786863,0.000058189464,0.000013364227,0.0000043448827,0.000012428185,0.00000523889,0.0010853943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99819475,0.0008902344,0.000068386136,0.00014312379,0.00037043382,0.00033307026],"domain_scores_gemma":[0.9912685,0.0040465775,0.0013665583,0.00046679052,0.0017041692,0.0011473636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00271961,0.0001890729,0.00036875586,0.0012370446,0.0019310456,0.006472339,0.0010122644,0.0012383832,0.006788466],"category_scores_gemma":[0.011736418,0.00028548745,0.00041671653,0.0025391432,0.0021451255,0.0037732117,0.0029785635,0.0020038385,0.00038245026],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008454006,0.00074430776,0.32876074,0.00046655364,0.00017101242,0.0012041882,0.029080275,0.12436951,0.0017746141,0.33506778,0.01838939,0.15912627],"study_design_scores_gemma":[0.000043515673,0.0002687726,0.26343876,0.0003243646,0.00006765921,0.0004229617,0.10131567,0.3625885,0.0018823878,0.23890325,0.030550018,0.00019416743],"about_ca_topic_score_codex":0.0503178,"about_ca_topic_score_gemma":0.03804525,"teacher_disagreement_score":0.0503178,"about_ca_system_score_codex":0.009742634,"about_ca_system_score_gemma":0.0045309667,"threshold_uncertainty_score":0.10004985},"labels":[],"label_agreement":null},{"id":"W2014348724","doi":"10.1080/15568310801915559","title":"The Effectiveness of Automated and Manned Traffic Enforcement","year":2009,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Motor Association Foundation for Traffic Safety; Centre for Transportation Engineering and Planning","keywords":"Enforcement; Law enforcement; Deterrence theory; Computer security; Differential (mechanical device); Transport engineering; Population; Poison control; Business; Engineering; Aeronautics; Computer science; Political science; Medicine; Environmental health; Law","score_opus":0.002317608408485237,"score_gpt":0.21407119953388537,"score_spread":0.21175359112540013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014348724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889492,0.000439325,0.0006204076,0.00012857773,0.000019720383,0.000031649488,0.00008221145,0.000016787226,0.009712149],"genre_scores_gemma":[0.9992386,0.00006713312,0.00018380034,0.000017189837,0.000013001112,0.0000032334685,0.000020302057,0.0000015622111,0.00045529864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99540496,0.0019675435,0.000276601,0.00038356715,0.0014528006,0.00051456783],"domain_scores_gemma":[0.97654754,0.00896226,0.009815501,0.001604785,0.0022238921,0.00084600865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029283187,0.0002031769,0.00030856332,0.0012047826,0.0005124713,0.0014189659,0.00075720676,0.0003913161,0.0032705334],"category_scores_gemma":[0.018836288,0.00013710799,0.00038989814,0.0006256075,0.0010152265,0.0012993916,0.0010766264,0.00039372043,0.00015588541],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014740855,0.0010816375,0.7400881,0.00038470377,0.00074133975,0.0005246461,0.0007937437,0.02255959,0.0035195102,0.009945642,0.0011495345,0.21773744],"study_design_scores_gemma":[0.000045406912,0.0015618737,0.97588646,0.00014749067,0.00015161844,0.00038631482,0.0009576395,0.012958797,0.0014312507,0.002172299,0.004257548,0.00004330188],"about_ca_topic_score_codex":0.007829846,"about_ca_topic_score_gemma":0.011285094,"teacher_disagreement_score":0.007829846,"about_ca_system_score_codex":0.000840639,"about_ca_system_score_gemma":0.0008806709,"threshold_uncertainty_score":0.015568554},"labels":[],"label_agreement":null},{"id":"W2089346934","doi":"10.1080/15568318.2013.811332","title":"Breaking into Bicycle Theft: Insights from Montreal, Canada","year":2014,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Transport Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Advertising; Business","score_opus":0.005115119872147564,"score_gpt":0.25140988085734256,"score_spread":0.24629476098519498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089346934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92409325,0.0035016667,0.0005998099,0.0137483,0.000080711055,0.00015057657,0.002826758,0.000026940104,0.054971915],"genre_scores_gemma":[0.982321,0.0035526734,0.00056024466,0.0015631182,0.000019238272,0.000036753725,0.0009021425,0.000031848707,0.0110129975],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9985576,0.0002923484,0.000033239136,0.0001344143,0.00034200918,0.00064040674],"domain_scores_gemma":[0.9974178,0.00044681656,0.00021397264,0.000059483027,0.0012673284,0.00059448293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013339065,0.0006218875,0.00042216384,0.0025404464,0.014701022,0.0043016747,0.0016989018,0.00087680673,0.0067856694],"category_scores_gemma":[0.0033919716,0.0003524445,0.00037329618,0.006064077,0.0039071646,0.0018234695,0.0026898754,0.0016866769,0.00037780896],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015987967,0.0002929382,0.2437109,0.0004887109,0.000085643784,0.0038735888,0.6175656,0.0008970972,0.0012805782,0.013813099,0.053877223,0.06395472],"study_design_scores_gemma":[0.000013621886,0.000039595343,0.18057463,0.00053792127,0.000039268703,0.00020922677,0.7523328,0.00047590802,0.00022562801,0.0005935126,0.064880036,0.00007783758],"about_ca_topic_score_codex":0.9978509,"about_ca_topic_score_gemma":0.99940073,"teacher_disagreement_score":0.08502475,"about_ca_system_score_codex":0.08502475,"about_ca_system_score_gemma":0.07746924,"threshold_uncertainty_score":0.6169007},"labels":[],"label_agreement":null},{"id":"W2097894336","doi":"10.1080/15568310802259882","title":"Introduction to the Special Issue on Road Pricing and Infrastructure Financing","year":2009,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Revenue; Nexus (standard); Road pricing; Finance; Investment (military); Business; Transportation infrastructure; Fuel tax; Alternative fuel vehicle; Innovative financing; Public transport; Transport engineering; Economics; Alternative fuels; Traffic congestion; Engineering; Politics; Political science","score_opus":0.004035444178113798,"score_gpt":0.25776669396589164,"score_spread":0.25373124978777784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097894336","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010713713,0.085322924,0.0062154965,0.15522268,0.6461468,0.000111717934,0.0011310455,0.00021019115,0.1045678],"genre_scores_gemma":[0.0072309496,0.058175337,0.0018319566,0.02128958,0.80692095,0.00012437669,0.0008754921,0.00026890257,0.10328246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911016,0.00018201991,0.00008535919,0.00017919557,0.00033671406,0.000106478714],"domain_scores_gemma":[0.9947766,0.0029856444,0.00031060938,0.00024656387,0.0011827991,0.0004977655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014856226,0.0015246143,0.0014236376,0.00311594,0.0012463494,0.0041447203,0.0010627041,0.0042528096,0.037271615],"category_scores_gemma":[0.0054596527,0.0005661324,0.001157187,0.00266037,0.0012053164,0.0041294047,0.001452815,0.007711043,0.013255957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007612842,0.000026477986,0.00012131787,0.00011844168,0.0000065461904,0.000060104605,0.000028359093,0.00015139606,0.00006393003,0.011503203,0.9688259,0.019086732],"study_design_scores_gemma":[0.000007157621,0.000021568081,0.00064528536,0.0002725012,0.000008213667,0.00013158584,0.000036509384,0.00028685707,0.000052309497,0.013331438,0.9851944,0.000012273661],"about_ca_topic_score_codex":0.0013620757,"about_ca_topic_score_gemma":0.0022230009,"teacher_disagreement_score":0.037271615,"about_ca_system_score_codex":0.0015116408,"about_ca_system_score_gemma":0.0014274659,"threshold_uncertainty_score":0.124686},"labels":[],"label_agreement":null},{"id":"W2167626169","doi":"10.1080/15568318.2012.708098","title":"Automated Analysis of Pedestrian Crossing Speed Behavior at Scramble-phase Signalized Intersections Using Computer Vision Techniques","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Schema crosswalk; Pedestrian crossing; Pedestrian; Intersection (aeronautics); Level crossing; Computer science; Preferred walking speed; Diagonal; Transport engineering; Phase (matter); Simulation; Engineering; Mathematics","score_opus":0.013830620885553212,"score_gpt":0.3201780945032246,"score_spread":0.3063474736176714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167626169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92739224,0.000111928646,0.07006335,0.00001590286,0.000020467482,0.000047776128,0.000249521,0.0006505722,0.0014483007],"genre_scores_gemma":[0.9717767,0.00004817906,0.027132079,0.000011986176,0.00000549958,0.000037562204,0.00029747904,0.000022443666,0.000668142],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997594,0.000043253196,0.000007832735,0.00006339674,0.000094090276,0.000032069314],"domain_scores_gemma":[0.9995214,0.00008693155,0.00010684944,0.00004383424,0.00021525616,0.000025731739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018553383,0.0002912487,0.00026503415,0.0012508979,0.00014430113,0.00025279314,0.0002676323,0.00019012178,0.00083558337],"category_scores_gemma":[0.0008332565,0.00011251602,0.00014939059,0.0005308816,0.000101506346,0.0002533597,0.00018869703,0.00023953973,0.00030232707],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011970748,0.0006054844,0.06730372,0.00035768788,0.00016673563,0.00028833494,0.0006616053,0.024228692,0.37292898,0.0007271817,0.0020682316,0.52946633],"study_design_scores_gemma":[0.000070777554,0.0014116941,0.477555,0.000060234084,0.00014860215,0.00064270647,0.00041279005,0.3300339,0.18595894,0.0006288471,0.002971139,0.000105384555],"about_ca_topic_score_codex":0.002315146,"about_ca_topic_score_gemma":0.0029502332,"teacher_disagreement_score":0.002315146,"about_ca_system_score_codex":0.00020430324,"about_ca_system_score_gemma":0.00024367504,"threshold_uncertainty_score":0.004603386},"labels":[],"label_agreement":null},{"id":"W2565613554","doi":"10.1080/15568318.2016.1266425","title":"Where no cars go: Free-floating carshare and inequality of access","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Business; Census tract; Demographics; Transport engineering; Inequality; Service provider; Service (business); Census; Marketing; Economics; Engineering; Population; Environmental health; Microeconomics","score_opus":0.013849161074805164,"score_gpt":0.2659096923940248,"score_spread":0.2520605313192196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565613554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99167305,0.00028964004,0.00035533766,0.0010926418,0.000011261709,0.000008395956,0.00046303286,0.0000031805182,0.0061033755],"genre_scores_gemma":[0.99955946,0.000037044305,0.000032284064,0.000025619225,0.000006640677,0.0000033159322,0.00008810082,0.0000012853702,0.00024615537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891233,0.00029043024,0.00005097124,0.00016025658,0.00016352569,0.000422474],"domain_scores_gemma":[0.99669385,0.0009302663,0.0011032503,0.00021315481,0.0002782084,0.00078125246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274528,0.00011413066,0.0002847315,0.0014925416,0.0011612551,0.0017329092,0.0006376347,0.0005853653,0.007840376],"category_scores_gemma":[0.004390208,0.00009925271,0.0002824964,0.0025236716,0.0015137201,0.0017797514,0.0027611481,0.0008155668,0.0002429253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008036548,0.00011514425,0.9760079,0.000018442259,0.00004885251,0.00012366919,0.0024127702,0.00039336615,0.00009651807,0.010050851,0.0010778265,0.009574399],"study_design_scores_gemma":[0.0000065585646,0.000044756693,0.9827155,0.00006102458,0.000023104385,0.000098818586,0.008557046,0.001749436,0.000088360866,0.004027703,0.0026133251,0.000014431437],"about_ca_topic_score_codex":0.050857477,"about_ca_topic_score_gemma":0.08422681,"teacher_disagreement_score":0.050857477,"about_ca_system_score_codex":0.0012249151,"about_ca_system_score_gemma":0.00060010096,"threshold_uncertainty_score":0.101122916},"labels":[],"label_agreement":null},{"id":"W2568409332","doi":"10.1080/15568318.2016.1278061","title":"TRIBUTE: Trip-based urban transportation emissions model for municipalities","year":2017,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Greenhouse gas; Modal; Tribute; Vehicle miles of travel; Transport engineering; Land use; Modal shift; Travel survey; Travel behavior; Mode choice; Mode (computer interface); Conceptual model; Transportation planning; Microsimulation; Operations research; Environmental economics; Computer science; Engineering; Economics; Civil engineering; Public transport; Geography","score_opus":0.03739667063246563,"score_gpt":0.358532465855285,"score_spread":0.3211357952228193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568409332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21593842,0.00062949874,0.69064134,0.0016669378,0.00022061118,0.00050527306,0.021406043,0.0031879256,0.0658039],"genre_scores_gemma":[0.9001982,0.00066192274,0.07000732,0.00011761641,0.000050195344,0.00080530136,0.0073856623,0.00029694906,0.020476758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997912,0.00007190724,0.000012840258,0.00004319019,0.000040709623,0.000040117564],"domain_scores_gemma":[0.9997427,0.000081318416,0.00003135146,0.000021058475,0.00009303396,0.000030464205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035330586,0.0006763651,0.00059539767,0.0005540599,0.0006624183,0.0012805869,0.0019693475,0.0011651042,0.0058332537],"category_scores_gemma":[0.0011279737,0.00043109345,0.0010383951,0.0012233811,0.00033020624,0.0011547188,0.0010301096,0.00071076216,0.0007629043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017151244,0.000014391196,0.0005871644,0.000015498597,0.000011366982,0.000051019713,0.000018915698,0.9906054,0.00013459324,0.0056708064,0.0008703006,0.0020035026],"study_design_scores_gemma":[0.000009410488,0.0000091459215,0.00016848937,0.0000055958035,0.000007327064,0.000017274928,0.00002416487,0.9941738,0.000096132266,0.0022728548,0.0032094414,0.000006414703],"about_ca_topic_score_codex":0.06926234,"about_ca_topic_score_gemma":0.041601,"teacher_disagreement_score":0.06926234,"about_ca_system_score_codex":0.0019230375,"about_ca_system_score_gemma":0.0021397432,"threshold_uncertainty_score":0.13771832},"labels":[],"label_agreement":null},{"id":"W2755309423","doi":"10.1080/15568318.2017.1377326","title":"What drives sustainable student travel? Mode choice determinants in the Greater Toronto Area","year":2017,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mode choice; Multinomial logistic regression; Sample (material); Sustainability; Population; Mode (computer interface); Sustainable transport; Travel behavior; Marketing; Psychology; Business; Economics; Sociology; Public transport; Transport engineering; Computer science; Demography; Engineering; Microeconomics","score_opus":0.022283927473487352,"score_gpt":0.3632344028081012,"score_spread":0.34095047533461387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755309423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989672,0.00004519932,0.00006352643,0.00012264382,0.0000023435362,0.000005942344,0.00012745023,0.000002124678,0.00066354516],"genre_scores_gemma":[0.9994167,0.000060736067,0.000042179392,0.0000104711735,0.000001705077,0.0000033561014,0.00008242784,0.0000011500481,0.00038124158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999701,0.00007279841,0.000015305533,0.00004216569,0.00007721008,0.000091621594],"domain_scores_gemma":[0.99867517,0.0002565322,0.0002452677,0.0000505687,0.00023415801,0.00053830334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035913868,0.00015500735,0.00016815963,0.00045111,0.0010743036,0.0012347755,0.0003461668,0.00028948634,0.0029175223],"category_scores_gemma":[0.0019257043,0.000108028646,0.00033108538,0.0011414182,0.00047159314,0.00032401178,0.00067059236,0.00042367508,0.00025438695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023840268,0.0000490032,0.9928703,0.000013320063,0.00001718636,0.00006257416,0.0023652713,0.00026855548,0.0001597086,0.00020997343,0.00039742785,0.0035628802],"study_design_scores_gemma":[0.0000015344135,0.000030496298,0.9894372,0.000018298277,0.000011860744,0.000025720728,0.0087088365,0.00092461554,0.00006400604,0.000071897106,0.0006999388,0.000005594002],"about_ca_topic_score_codex":0.7343234,"about_ca_topic_score_gemma":0.8660325,"teacher_disagreement_score":0.26567662,"about_ca_system_score_codex":0.0035385282,"about_ca_system_score_gemma":0.004006779,"threshold_uncertainty_score":0.5344825},"labels":[],"label_agreement":null},{"id":"W2885734026","doi":"10.1080/15568318.2018.1463419","title":"Analysis, modeling, and assessing performances of supply chains served by long-distance freight transport corridors","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Supply chain; Scope (computer science); Transport engineering; Traffic management; China; Business; Rail freight transport; Order (exchange); Road transport; Engineering; Computer science; Geography","score_opus":0.006363483891174888,"score_gpt":0.22974592922497397,"score_spread":0.22338244533379908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885734026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71427405,0.0005108404,0.27043152,0.00045846408,0.000030051597,0.00014787908,0.00054897345,0.00013111174,0.013467068],"genre_scores_gemma":[0.9862294,0.00033676083,0.011506176,0.00000877088,0.000008866342,0.00007141717,0.00019651817,0.000012093834,0.0016300873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917585,0.00042135082,0.00003377189,0.00012357932,0.00010768876,0.00013766957],"domain_scores_gemma":[0.9988746,0.00060658454,0.00021014773,0.000057436067,0.00018955558,0.00006158019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014243516,0.0011039559,0.00039481584,0.0010624754,0.00050672167,0.0017710548,0.0007886645,0.001181112,0.0014407274],"category_scores_gemma":[0.0026613518,0.00036607776,0.0010620959,0.0014059846,0.00067494693,0.0019097488,0.00088719104,0.00060714385,0.00015401038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013901833,0.000015398202,0.0024046276,0.000015314594,0.00002073733,0.00004491801,0.0000361257,0.99222744,0.00033092225,0.00293866,0.00004556128,0.001906403],"study_design_scores_gemma":[0.0000019317692,0.00002672428,0.00087155245,0.000007356835,0.000014927962,0.000010271399,0.00008032878,0.99662566,0.000262011,0.0018952341,0.00019866231,0.0000053841823],"about_ca_topic_score_codex":0.028214155,"about_ca_topic_score_gemma":0.012835036,"teacher_disagreement_score":0.028214155,"about_ca_system_score_codex":0.0020829272,"about_ca_system_score_gemma":0.0016103175,"threshold_uncertainty_score":0.05609989},"labels":[],"label_agreement":null},{"id":"W2915730880","doi":"10.1080/15568318.2018.1519746","title":"Using OpenStreetMap to inventory bicycle infrastructure: A comparison with open data from cities","year":2019,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Simon Fraser University; University of Victoria","funders":"Public Health Agency; Michael Smith Health Research BC","keywords":"Transport engineering; Open data; Green infrastructure; Volunteered geographic information; Street network; Equity (law); Business; Computer science; Geography; Environmental planning; Engineering; World Wide Web; Data science","score_opus":0.061696934745314964,"score_gpt":0.36816987119150923,"score_spread":0.3064729364461943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915730880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79456764,0.0012828715,0.033883687,0.0016904788,0.00023773423,0.000795125,0.11469117,0.0032210734,0.0496303],"genre_scores_gemma":[0.8187771,0.0010930792,0.05190802,0.00035757283,0.0000519568,0.00069810415,0.12293576,0.0009941478,0.003184308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98954076,0.0014599621,0.0009086915,0.0011476529,0.005724925,0.0012180597],"domain_scores_gemma":[0.95745754,0.0062307455,0.003327328,0.0063334336,0.02536083,0.0012901461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074424,0.00070991094,0.0005362902,0.01311553,0.0022771985,0.0048304135,0.0017171238,0.00067366706,0.0021299233],"category_scores_gemma":[0.04018417,0.0005464275,0.00106583,0.031384133,0.0014068071,0.004204699,0.0055279983,0.0007328493,0.0009093795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064137793,0.00019034244,0.67285335,0.0019038755,0.000772954,0.0006654161,0.03248421,0.0120091215,0.0039631277,0.010172928,0.043447316,0.220896],"study_design_scores_gemma":[0.000035938607,0.00005086929,0.8293252,0.0009692464,0.00021396358,0.00025534586,0.02931939,0.016523266,0.0024403397,0.0027337521,0.1178491,0.00028354206],"about_ca_topic_score_codex":0.8382604,"about_ca_topic_score_gemma":0.84907216,"teacher_disagreement_score":0.8382604,"about_ca_system_score_codex":0.0070529706,"about_ca_system_score_gemma":0.012623041,"threshold_uncertainty_score":0.3253842},"labels":[],"label_agreement":null},{"id":"W2917414791","doi":"10.1080/15568318.2018.1519087","title":"A new design and evaluation approach for managed lanes from a sustainability perspective","year":2019,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Software deployment; Toll; Transport engineering; Fuel efficiency; Sustainability; Traffic flow (computer networking); Traffic congestion; Toll road; Environmental economics; Vehicle miles of travel; Traffic simulation; Computer science; Microsimulation; Engineering; Automotive engineering; Economics","score_opus":0.01089031083571809,"score_gpt":0.26139495201252727,"score_spread":0.2505046411768092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917414791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006050022,0.00010070035,0.982084,0.00028167927,0.000036853788,0.0003298832,0.000047033885,0.00015911495,0.010910725],"genre_scores_gemma":[0.3183639,0.00045329475,0.6719229,0.00019753656,0.00005979671,0.0011938798,0.0001391785,0.00015743446,0.007512003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995572,0.002001574,0.00014737638,0.0004962826,0.0015128404,0.00026987187],"domain_scores_gemma":[0.9982893,0.00045383658,0.0002485065,0.00024076796,0.00066574407,0.000101922975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004847077,0.0015013416,0.0008889362,0.0017838335,0.0007051838,0.0040469375,0.0025925967,0.0017395464,0.005078312],"category_scores_gemma":[0.0045441464,0.0006881288,0.0011974307,0.0009981941,0.0015400046,0.0035052686,0.002748831,0.0014887778,0.0005064962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008718798,0.00037489948,0.0025656894,0.00042039357,0.00011403167,0.00025065255,0.00038277,0.5619427,0.010792547,0.2767096,0.0017886938,0.1445709],"study_design_scores_gemma":[0.00007586467,0.00089517067,0.0008771201,0.00024485026,0.000105787716,0.00015877739,0.00074827386,0.8332201,0.008591599,0.1162325,0.03876655,0.00008343228],"about_ca_topic_score_codex":0.002162328,"about_ca_topic_score_gemma":0.0032067269,"teacher_disagreement_score":0.005078312,"about_ca_system_score_codex":0.0027102255,"about_ca_system_score_gemma":0.004033752,"threshold_uncertainty_score":0.02563411},"labels":[],"label_agreement":null},{"id":"W2920666101","doi":"10.1080/15568318.2018.1540734","title":"CarbonRoadMap: A multicriteria decision tool for multimodal transportation","year":2019,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Weighting; Decision support system; Multi-objective optimization; Operations research; Pareto principle; Decision maker; Set (abstract data type); Computer science; Selection (genetic algorithm); Engineering; Data mining; Operations management; Artificial intelligence; Machine learning","score_opus":0.004516909978500813,"score_gpt":0.24070404790774405,"score_spread":0.23618713792924323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920666101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069242693,0.00015502897,0.97837603,0.0002813363,0.000054879136,0.00027169278,0.0010705066,0.008253445,0.00461274],"genre_scores_gemma":[0.08362379,0.00022412936,0.91224766,0.00011993348,0.000027651522,0.0005658302,0.0011927069,0.0005170606,0.0014812062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986156,0.00045043952,0.00013679948,0.00019700477,0.0004953064,0.000104827],"domain_scores_gemma":[0.9966723,0.0021692424,0.00029702,0.00020053364,0.00051761256,0.0001432309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00264932,0.0015176429,0.001045978,0.0028661243,0.00080978754,0.0024859526,0.0016846075,0.0013935422,0.012782706],"category_scores_gemma":[0.006705765,0.00067078794,0.0016336808,0.0015291243,0.0005033838,0.0022625893,0.0020446212,0.0013862705,0.001773449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054885825,0.000376153,0.0033876137,0.0010202355,0.00030186318,0.0006303118,0.00048447572,0.52691084,0.0074786413,0.05579709,0.024358153,0.37870577],"study_design_scores_gemma":[0.00009216545,0.000094794836,0.0004082326,0.00015302021,0.00004577662,0.00017729017,0.000107259184,0.941636,0.003936319,0.023632122,0.02963766,0.000079277954],"about_ca_topic_score_codex":0.0040321983,"about_ca_topic_score_gemma":0.0060529592,"teacher_disagreement_score":0.012782706,"about_ca_system_score_codex":0.00105844,"about_ca_system_score_gemma":0.0021546246,"threshold_uncertainty_score":0.04276234},"labels":[],"label_agreement":null},{"id":"W3196909575","doi":"10.1080/15568318.2021.1960450","title":"Responding to the barriers in climate adaptation planning among transport systems: Insights from the case of the port of Montreal","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Adaptation (eye); Climate change; Environmental planning; Port (circuit theory); Environmental resource management; Pace; Climate change adaptation; Business; Strategic planning; Process (computing); Scarcity; Process management; Engineering; Computer science; Economics; Environmental science; Geography; Psychology; Marketing","score_opus":0.013021590423398836,"score_gpt":0.2850804678227918,"score_spread":0.27205887739939294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196909575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8476619,0.0012434169,0.004564995,0.019828044,0.000122046295,0.00020795094,0.00025955844,0.00005256289,0.12605941],"genre_scores_gemma":[0.9920365,0.00051297696,0.00071363366,0.00032755075,0.000011321002,0.00002096008,0.00003717175,0.00001580818,0.006324129],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9975579,0.0010567751,0.000036678714,0.00013648708,0.00029324464,0.0009189358],"domain_scores_gemma":[0.99764293,0.0009551006,0.0001889492,0.000083780156,0.00048829254,0.0006408598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095785,0.00051402434,0.00026335503,0.001246201,0.019486453,0.005688169,0.0025735497,0.00194196,0.0057011885],"category_scores_gemma":[0.005500878,0.0002643031,0.00042800032,0.0023137883,0.008174097,0.0027140148,0.0037463743,0.0022625248,0.00021869031],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532583,0.00022664259,0.05591832,0.00045240484,0.00007239768,0.03300222,0.683488,0.011190877,0.0035634316,0.15750529,0.014183672,0.04025144],"study_design_scores_gemma":[0.000013506018,0.00007956785,0.03745169,0.000325347,0.000050782724,0.0009063613,0.8146968,0.003566749,0.0005321307,0.0057216478,0.13656256,0.00009292617],"about_ca_topic_score_codex":0.9394688,"about_ca_topic_score_gemma":0.97584945,"teacher_disagreement_score":0.0632599,"about_ca_system_score_codex":0.0632599,"about_ca_system_score_gemma":0.037405007,"threshold_uncertainty_score":0.45898485},"labels":[],"label_agreement":null},{"id":"W4316494184","doi":"10.1080/15568318.2023.2166438","title":"Evaluating the need for secured bicycle parking across cyclist typologies","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; McGill University","funders":"","keywords":"Transport engineering; Cycling; Work (physics); Business; Engineering; Geography","score_opus":0.0732500159832948,"score_gpt":0.45273490409789385,"score_spread":0.3794848881145991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316494184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984498,0.000049104114,0.00013058439,0.000060450777,0.0000030255871,0.00008419174,0.00022315049,0.000003315699,0.0009963294],"genre_scores_gemma":[0.9982932,0.00012928879,0.00047611113,0.00002798985,0.0000035054527,0.00014154923,0.00047721076,0.0000045759243,0.00044665186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985819,0.0003518777,0.0001291535,0.00017735624,0.00040383788,0.00035595562],"domain_scores_gemma":[0.99463403,0.0010634422,0.001443796,0.00023448747,0.0017352547,0.0008889478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029117574,0.00033247715,0.0003685791,0.0027007242,0.0022751205,0.0022472218,0.0013713874,0.00071324257,0.0031850366],"category_scores_gemma":[0.009727341,0.00033121297,0.00059212046,0.0021569468,0.0013638975,0.0013642015,0.0022020652,0.0005066299,0.0003381799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006624273,0.00006011026,0.9784797,0.000079105135,0.000029959792,0.0000738431,0.015110487,0.00012764761,0.00020849517,0.00012481533,0.00024733576,0.005392287],"study_design_scores_gemma":[0.000005591882,0.000080114725,0.9143145,0.00005571763,0.000019170882,0.000047629826,0.083856285,0.0005168675,0.00007272357,0.00008028068,0.0009362619,0.0000148687],"about_ca_topic_score_codex":0.32399172,"about_ca_topic_score_gemma":0.6012097,"teacher_disagreement_score":0.32399172,"about_ca_system_score_codex":0.0063150437,"about_ca_system_score_gemma":0.005663513,"threshold_uncertainty_score":0.64421177},"labels":[],"label_agreement":null},{"id":"W4366691175","doi":"10.1080/15568318.2023.2196264","title":"Assessing the potential of cycling growth in Toronto, Canada","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; York University; University of Toronto","funders":"","keywords":"Cycling; TRIPS architecture; Transport engineering; Sustainable transport; Kilometer; Travel survey; Travel behavior; Recreation; Business; Geography; Engineering; Sustainability","score_opus":0.011438496174328894,"score_gpt":0.32401629588628933,"score_spread":0.3125777997119604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366691175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712138,0.00062527915,0.0008001922,0.00047662845,0.000014915904,0.00010337638,0.011716436,0.000046755496,0.015002624],"genre_scores_gemma":[0.9922236,0.0004486918,0.0006509336,0.000031724012,0.000003228405,0.00002264486,0.0036303753,0.000008567211,0.0029802367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994814,0.0000451192,0.000023269491,0.000052812808,0.00023734791,0.00016017913],"domain_scores_gemma":[0.9981483,0.00017009184,0.00012640466,0.000039192742,0.0011939122,0.00032214963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049282337,0.00036735449,0.00023234032,0.0016801433,0.0023298764,0.0018505467,0.00088098604,0.0003115248,0.002436321],"category_scores_gemma":[0.0018476052,0.00016306073,0.0003990731,0.004259703,0.00054374116,0.0004906749,0.00077436055,0.00031449343,0.00023928499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019673698,0.00008848056,0.921766,0.00024536555,0.00012641965,0.0008158239,0.005097752,0.018348265,0.001203987,0.005432991,0.009858275,0.036819834],"study_design_scores_gemma":[0.0000064312385,0.000054390744,0.96231484,0.000093858405,0.00004122118,0.0000857424,0.012759339,0.014529957,0.00037175603,0.00027114883,0.009428148,0.00004314837],"about_ca_topic_score_codex":0.9971097,"about_ca_topic_score_gemma":0.99893004,"teacher_disagreement_score":0.037653506,"about_ca_system_score_codex":0.037653506,"about_ca_system_score_gemma":0.02673938,"threshold_uncertainty_score":0.27319658},"labels":[],"label_agreement":null},{"id":"W4391567559","doi":"10.1080/15568318.2024.2308266","title":"Association between network characteristics and bicycle ridership across a large metropolitan region","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Health and Medical Research Council; Medical Research Council; UK Research and Innovation","keywords":"Metropolitan area; Association (psychology); Transport engineering; Geography; Econometrics; Environmental science; Engineering; Mathematics; Psychology","score_opus":0.017663503508200014,"score_gpt":0.3278347297850833,"score_spread":0.3101712262768833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391567559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986255,0.00019883175,0.000324895,0.00006737013,0.0000020884258,0.000010423822,0.000194418,0.0000038265193,0.0005726368],"genre_scores_gemma":[0.99952507,0.00009944675,0.00014239561,0.0000053039403,0.000002138641,0.0000074160066,0.0001108828,0.0000012747386,0.000106099345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993285,0.0002882077,0.000051728257,0.00016469555,0.000094890194,0.00007198145],"domain_scores_gemma":[0.9968786,0.0008964922,0.00115514,0.00020146949,0.0005448835,0.0003234084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081991445,0.00014117599,0.00025154676,0.0010551965,0.00033203306,0.00058584946,0.00035175198,0.00021685645,0.0015006792],"category_scores_gemma":[0.0057529216,0.0001472035,0.00020522399,0.0016378562,0.00031178063,0.00087256083,0.0009069606,0.000299047,0.00011369616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042959444,0.000028522889,0.994966,0.00003343784,0.00010564864,0.00006681387,0.00065295957,0.0004872906,0.00020564233,0.00013953204,0.000104458035,0.003166633],"study_design_scores_gemma":[9.4662e-7,0.000026111766,0.997886,0.000012482706,0.000021570175,0.000058607762,0.0007660365,0.00086344336,0.00002975098,0.00006027967,0.0002714895,0.0000033449269],"about_ca_topic_score_codex":0.046112645,"about_ca_topic_score_gemma":0.08750734,"teacher_disagreement_score":0.046112645,"about_ca_system_score_codex":0.0005871797,"about_ca_system_score_gemma":0.00034949172,"threshold_uncertainty_score":0.091688514},"labels":[],"label_agreement":null},{"id":"W4396560886","doi":"10.1080/15568318.2024.2343727","title":"Life cycle thinking-based analysis of diesel and electric-powered buses for Canadian transit systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SAIT Polytechnic; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Mitacs","keywords":"Diesel fuel; Electricity; Life-cycle assessment; Sustainability; Environmental economics; Greenhouse gas; Total cost of ownership; Transport engineering; Public transport; Engineering; Business; Automotive engineering; Production (economics); Economics","score_opus":0.003436755831726245,"score_gpt":0.20887151625330183,"score_spread":0.20543476042157557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396560886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8765641,0.0012244141,0.03484517,0.0009727225,0.000040391464,0.0005386687,0.003810012,0.000085809435,0.08191875],"genre_scores_gemma":[0.982951,0.00053415005,0.01017917,0.00003801797,0.0000039841484,0.00007473874,0.00134486,0.00001855412,0.0048556314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995864,0.00007210784,0.000010743448,0.00003528804,0.0001379116,0.000157614],"domain_scores_gemma":[0.9994773,0.000116258256,0.00003783348,0.000010755182,0.00029987906,0.000057952744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080479996,0.000836757,0.00031194356,0.0026727736,0.0014424422,0.0023826363,0.0008305059,0.00043823314,0.003066924],"category_scores_gemma":[0.0011310348,0.00023526498,0.001122662,0.00236079,0.00064626825,0.0006703179,0.00060642004,0.0005783747,0.00012847004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117599135,0.0000916938,0.023806587,0.00020785343,0.0001077018,0.0003689728,0.0006732018,0.8955658,0.0023029363,0.046299152,0.0023132365,0.028145326],"study_design_scores_gemma":[0.0000193646,0.00010272703,0.04082792,0.00009459732,0.00015419624,0.000046317095,0.0032044894,0.9328221,0.0014811106,0.010162612,0.011004476,0.00008011452],"about_ca_topic_score_codex":0.9393387,"about_ca_topic_score_gemma":0.95002913,"teacher_disagreement_score":0.060661316,"about_ca_system_score_codex":0.04147431,"about_ca_system_score_gemma":0.02691484,"threshold_uncertainty_score":0.30091858},"labels":[],"label_agreement":null},{"id":"W4396894783","doi":"10.1080/15568318.2024.2350946","title":"The impact of bicycle theft on ridership behavior","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transport engineering; Business; Computer security; Engineering; Computer science","score_opus":0.013179673192770525,"score_gpt":0.3198056442835319,"score_spread":0.3066259710907614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396894783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885404,0.000107979606,0.00006432427,0.000049818555,0.0000022576012,0.000006557916,0.00012877528,0.0000016690207,0.0007845692],"genre_scores_gemma":[0.99948347,0.000097648575,0.00004144946,0.000010608445,0.0000025303439,0.0000045462825,0.00012629665,7.4828927e-7,0.00023270596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918455,0.00037574707,0.00006566943,0.000091768605,0.00013554322,0.00014679146],"domain_scores_gemma":[0.9964037,0.0012532563,0.0011124258,0.00020395427,0.0005524555,0.00047427413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011144786,0.00016668663,0.00022339592,0.00078389654,0.0003801644,0.0006996428,0.00030952087,0.00032631538,0.0032195663],"category_scores_gemma":[0.005799864,0.00016287442,0.00049293804,0.00073983305,0.00034458222,0.00061909534,0.0008362182,0.00042890094,0.00038233984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036219833,0.000070382994,0.99634737,0.0000130570215,0.000035152338,0.000034727695,0.00023547116,0.00011788193,0.0000978724,0.000027579783,0.000054447028,0.0029298898],"study_design_scores_gemma":[4.773101e-7,0.00003770224,0.999308,0.000006701026,0.000009933232,0.000020714442,0.00035116024,0.00013699215,0.00002648998,0.000010824437,0.00008936525,0.0000016438163],"about_ca_topic_score_codex":0.030108524,"about_ca_topic_score_gemma":0.051088415,"teacher_disagreement_score":0.030108524,"about_ca_system_score_codex":0.0005053604,"about_ca_system_score_gemma":0.0004168035,"threshold_uncertainty_score":0.059866548},"labels":[],"label_agreement":null},{"id":"W4399460405","doi":"10.1080/15568318.2024.2363203","title":"Examining ride sourcing services as an emerging mode in Metro Vancouver: Insights into trip characteristics and impacts on multimodal competitions","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mode choice; Business; Transport engineering; Mode (computer interface); Marketing; Public transport; Engineering; Computer science","score_opus":0.008302975452092055,"score_gpt":0.2688479934357601,"score_spread":0.260545017983668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399460405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895203,0.000022747488,0.000049047398,0.000024361403,5.759933e-7,0.000011134642,0.00011975173,8.2772186e-7,0.0008194952],"genre_scores_gemma":[0.99843377,0.00007395215,0.00016488017,0.000014081909,0.0000010498326,0.000016819347,0.00022881698,0.0000023286582,0.0010642095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956506,0.00012489784,0.000017049862,0.00005816953,0.00009564749,0.00013907684],"domain_scores_gemma":[0.99832386,0.0004300033,0.00027634163,0.00006223557,0.0005547938,0.00035275336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005444626,0.00024892474,0.00029177536,0.0009079458,0.0012795744,0.0018167347,0.0005807987,0.00039749837,0.0025918866],"category_scores_gemma":[0.002596044,0.00019943721,0.000290305,0.0023990748,0.0004977332,0.0004916792,0.0010252695,0.0005594597,0.00030825782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010648048,0.00022119247,0.9789781,0.00005039995,0.000042232394,0.00027555926,0.007178186,0.00067108835,0.00082248874,0.00021897063,0.0003697927,0.011065453],"study_design_scores_gemma":[0.0000040956706,0.000093168506,0.95913386,0.000027381278,0.000018437244,0.00007935891,0.03723611,0.0021943161,0.0001314369,0.00008071749,0.0009856321,0.00001541577],"about_ca_topic_score_codex":0.77270716,"about_ca_topic_score_gemma":0.90903777,"teacher_disagreement_score":0.22729284,"about_ca_system_score_codex":0.0034387673,"about_ca_system_score_gemma":0.0038169317,"threshold_uncertainty_score":0.4572628},"labels":[],"label_agreement":null},{"id":"W4402438905","doi":"10.1080/15568318.2024.2397647","title":"Identifying optimal number of driving cycles to represent diverse driving conditions","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transport engineering; Computer science; Engineering","score_opus":0.010390840229855869,"score_gpt":0.2990668411178178,"score_spread":0.2886760008879619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402438905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89378554,0.00016308839,0.10316116,0.00007433934,0.0000187597,0.00008994082,0.00066740985,0.00025551041,0.0017841987],"genre_scores_gemma":[0.9776658,0.00006919793,0.02066391,0.000013044282,0.0000058498204,0.0000622108,0.001070615,0.000024499559,0.00042495038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996643,0.00007216672,0.000026549995,0.00010505724,0.00005652661,0.00007537769],"domain_scores_gemma":[0.99924743,0.00028882042,0.00013282894,0.00007000228,0.00020407244,0.00005690917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047804427,0.00068964675,0.00063297944,0.0011309739,0.00033508072,0.000632474,0.00042814395,0.00047178086,0.0005248694],"category_scores_gemma":[0.0027440365,0.00028125267,0.00059945445,0.0006404616,0.00020230123,0.0006267199,0.00033554967,0.0003215101,0.00021415304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043710272,0.00041346162,0.1289414,0.00016271473,0.00015921761,0.0002290782,0.00021222042,0.7155276,0.0104252,0.001863695,0.001902651,0.13972566],"study_design_scores_gemma":[0.000012926134,0.000087822715,0.037768763,0.000016107773,0.00003756115,0.00006851039,0.00012424595,0.95762223,0.0024658483,0.00096940144,0.00080121774,0.000025303605],"about_ca_topic_score_codex":0.01567162,"about_ca_topic_score_gemma":0.0144332955,"teacher_disagreement_score":0.01567162,"about_ca_system_score_codex":0.00045771935,"about_ca_system_score_gemma":0.0009929215,"threshold_uncertainty_score":0.031160772},"labels":[],"label_agreement":null},{"id":"W4404967222","doi":"10.1080/15568318.2024.2435558","title":"National climate change mitigation efforts for aviation: Lessons from post-Covid state action plans","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Climate change; Aviation; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Aeronautics; Action (physics); Pandemic; State (computer science); Business; Environmental planning; Environmental science; Engineering; Computer science; Medicine; Aerospace engineering; Virology","score_opus":0.022533016329110755,"score_gpt":0.30704932479267305,"score_spread":0.2845163084635623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404967222","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3470406,0.018389737,0.007492116,0.47801527,0.0017292177,0.0006830913,0.001789853,0.00018063103,0.14467944],"genre_scores_gemma":[0.9643766,0.00945331,0.005571821,0.01587703,0.00019010164,0.0002738874,0.0007793892,0.00003884275,0.0034388413],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9916648,0.0038124216,0.00034048493,0.0004603491,0.0017827005,0.0019391988],"domain_scores_gemma":[0.97488767,0.013971305,0.0016314037,0.0008546603,0.005613036,0.003041974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015451014,0.00045731114,0.00036509873,0.0021800844,0.0040555317,0.00835907,0.0018924997,0.0029623555,0.0035771825],"category_scores_gemma":[0.030758457,0.00027746745,0.0009084702,0.0031068707,0.0026743475,0.008287992,0.004407043,0.0062470585,0.0002762564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037507172,0.0018641667,0.119122125,0.003167985,0.0003146077,0.0023520517,0.043717224,0.012163809,0.0011073651,0.25278443,0.11742043,0.4456108],"study_design_scores_gemma":[0.00016218703,0.0013527166,0.2698112,0.009707764,0.00035897625,0.0004471389,0.2046689,0.010136881,0.0025737095,0.10747746,0.39301223,0.0002908526],"about_ca_topic_score_codex":0.081037164,"about_ca_topic_score_gemma":0.15035146,"teacher_disagreement_score":0.081037164,"about_ca_system_score_codex":0.014371085,"about_ca_system_score_gemma":0.041096836,"threshold_uncertainty_score":0.16113096},"labels":[],"label_agreement":null},{"id":"W4410956842","doi":"10.1080/15568318.2025.2508843","title":"A regional cost-benefit analysis of replacing motorized modes by a shared automated electric vehicle service","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Fuel Cell Technologies Program; European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; European Commission; Goldman Sachs Group","keywords":"Electric vehicle; Service (business); Transport engineering; Automotive engineering; Computer science; Business; Engineering; Marketing","score_opus":0.00696439942708346,"score_gpt":0.255745451780683,"score_spread":0.2487810523535995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410956842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.921401,0.0010036721,0.050045058,0.00056547654,0.00005784325,0.00048518452,0.0027637992,0.00012571544,0.023552109],"genre_scores_gemma":[0.9909142,0.00026160918,0.006616238,0.000038080158,0.0000067876317,0.00009724507,0.00033593972,0.000018317169,0.0017116212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884427,0.0006801545,0.000023493441,0.000120565426,0.00013701258,0.00019446465],"domain_scores_gemma":[0.99834263,0.0010418266,0.0001743488,0.00009733436,0.0002450507,0.00009876802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021337292,0.0010363513,0.00073469436,0.0010305498,0.00031362093,0.0016564613,0.001283133,0.0010915394,0.0051644817],"category_scores_gemma":[0.0036306644,0.0005057091,0.0020974292,0.0010919294,0.000508219,0.0013612703,0.0010378808,0.0010222386,0.00031404398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005721018,0.00015559373,0.0027933305,0.00019587034,0.0001777726,0.00022023321,0.000043295993,0.97850275,0.002067245,0.005928201,0.0005568161,0.008786679],"study_design_scores_gemma":[0.00014259887,0.0018576713,0.00985768,0.00010079829,0.0006532331,0.000182072,0.00057663914,0.9771524,0.0022833268,0.003846188,0.0032826138,0.0000647978],"about_ca_topic_score_codex":0.019938404,"about_ca_topic_score_gemma":0.013076391,"teacher_disagreement_score":0.019938404,"about_ca_system_score_codex":0.0034523455,"about_ca_system_score_gemma":0.0018936971,"threshold_uncertainty_score":0.03964472},"labels":[],"label_agreement":null},{"id":"W4412994108","doi":"10.1080/15568318.2025.2538685","title":"Enhancing vehicular emissions monitoring: A raw data processing and imputation model for heavy-duty diesel vehicles using remote OBD systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Heavy duty; Diesel fuel; Automotive engineering; Raw data; Environmental science; Imputation (statistics); Computer science; Transport engineering; Engineering; Missing data","score_opus":0.024359237580143068,"score_gpt":0.305048418717233,"score_spread":0.2806891811370899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412994108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16669093,0.000333392,0.829524,0.00038169196,0.000071552124,0.00006706077,0.00036534254,0.00092338194,0.0016426248],"genre_scores_gemma":[0.93667346,0.00022972924,0.059710503,0.000104686354,0.000032680313,0.0001312275,0.0007295212,0.00003890837,0.002349237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997265,0.000056633784,0.00001672968,0.000099022225,0.000053557134,0.00004764774],"domain_scores_gemma":[0.9996805,0.00013213688,0.0000376898,0.000027005259,0.00010818712,0.000014454998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008675312,0.0007226487,0.0006258684,0.00029507017,0.00031403382,0.0006556979,0.0011987402,0.0007280442,0.0007720775],"category_scores_gemma":[0.0014648018,0.00033086294,0.0007588316,0.00048428858,0.00025150648,0.0008524603,0.0007393841,0.0011007729,0.00026503086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014030802,0.00012438287,0.00618386,0.000064626656,0.000052799034,0.00011694511,0.000068544425,0.91784984,0.003122887,0.001471714,0.00079436525,0.07000964],"study_design_scores_gemma":[0.0000025805948,0.00001926693,0.00043447237,0.0000022943311,0.000006259794,0.000005709117,0.0000075053517,0.99840313,0.00051290315,0.00046343717,0.00013843182,0.000003967543],"about_ca_topic_score_codex":0.011319927,"about_ca_topic_score_gemma":0.0070859874,"teacher_disagreement_score":0.011319927,"about_ca_system_score_codex":0.00050893525,"about_ca_system_score_gemma":0.00094461994,"threshold_uncertainty_score":0.022508085},"labels":[],"label_agreement":null},{"id":"W4413190524","doi":"10.1080/15568318.2025.2544181","title":"The role of the new ecological paradigm scale on the willingness to pay and willingness to wait for e-commerce deliveries","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Willingness to pay; Scale (ratio); Environmental economics; Business; Environmental resource management; Marketing; Economics; Natural resource economics; Geography; Microeconomics","score_opus":0.006692376764443035,"score_gpt":0.21330317279184702,"score_spread":0.20661079602740398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413190524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964886,0.00004323558,0.00041862665,0.00012735232,0.000008129529,0.000012957617,0.000032223084,0.0000025110699,0.0028665958],"genre_scores_gemma":[0.9994623,0.00002296046,0.00027119787,0.000016787884,0.000003377936,0.000013593492,0.000033834218,0.0000018946263,0.00017402707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975926,0.0013732559,0.00014780626,0.00014850282,0.0005762018,0.00016160266],"domain_scores_gemma":[0.9767999,0.016595686,0.00295041,0.0007731504,0.0017448346,0.0011360078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005288225,0.00020268487,0.00021686184,0.00088559807,0.00034704807,0.0014909351,0.00030721893,0.00039572286,0.0032172042],"category_scores_gemma":[0.019914446,0.00013169982,0.000601158,0.00065690884,0.0008991731,0.00097113656,0.0009109744,0.000957065,0.00022189085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015634041,0.00021270549,0.9687885,0.00003817129,0.000093784794,0.00012584693,0.0048221424,0.00027683485,0.00048291587,0.001364037,0.00024354499,0.023395209],"study_design_scores_gemma":[0.0000055231008,0.00014440417,0.9901895,0.000030590614,0.00002886676,0.00009792479,0.0064070653,0.0013233748,0.0001564789,0.0007158495,0.0008811454,0.000019266196],"about_ca_topic_score_codex":0.0018857446,"about_ca_topic_score_gemma":0.0024633105,"teacher_disagreement_score":0.005288225,"about_ca_system_score_codex":0.0004429479,"about_ca_system_score_gemma":0.00063630944,"threshold_uncertainty_score":0.027967155},"labels":[],"label_agreement":null},{"id":"W4414962562","doi":"10.1080/15568318.2025.2566755","title":"Improving commercial truck fleet composition in emission modeling using 2021 US VIUS data","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Lawrence Berkeley National Laboratory; U.S. Department of Energy","keywords":"Truck; Composition (language); Commercial vehicle; Fuel efficiency","score_opus":0.015079600989090893,"score_gpt":0.27922073683785154,"score_spread":0.26414113584876064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414962562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9329622,0.00028568355,0.043931868,0.00046217616,0.000059637114,0.0001063678,0.01004833,0.00042130187,0.01172249],"genre_scores_gemma":[0.9722892,0.00021486667,0.015594182,0.00006309211,0.000008875858,0.00008240526,0.010177877,0.00011144733,0.0014579684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967885,0.00011779048,0.000022885959,0.00006945352,0.000070147806,0.00004081097],"domain_scores_gemma":[0.9996238,0.00013327811,0.000042005344,0.000053849486,0.0001311179,0.000016062166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000856906,0.00060333405,0.00028425225,0.00086186914,0.00041906646,0.00087656156,0.0007597799,0.0006142049,0.0010895837],"category_scores_gemma":[0.0018836493,0.00044935205,0.0010124013,0.001702113,0.00020308819,0.0013339937,0.0005738477,0.00070116,0.00033216286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037971757,0.000051097024,0.034927823,0.000027881855,0.000045614626,0.000057931553,0.00004712426,0.9523359,0.00052851485,0.0015847458,0.0014422671,0.008913056],"study_design_scores_gemma":[0.000011252123,0.00002076795,0.012632893,0.000023270182,0.0000185151,0.000016221242,0.00012492563,0.9809811,0.0009148135,0.0011066019,0.0041287765,0.000020834545],"about_ca_topic_score_codex":0.13665392,"about_ca_topic_score_gemma":0.12023057,"teacher_disagreement_score":0.13665392,"about_ca_system_score_codex":0.0014829511,"about_ca_system_score_gemma":0.0015806155,"threshold_uncertainty_score":0.27171695},"labels":[],"label_agreement":null},{"id":"W4415436325","doi":"10.1080/15568318.2025.2570322","title":"Measuring and moving on the street: A scoping review of street space allocation studies","year":2025,"lang":"en","type":"review","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council of Canada","keywords":"Space (punctuation); Urban space; Pedestrian; Urban planning; Key (lock); Resource allocation","score_opus":0.0772812775791205,"score_gpt":0.39892116594268845,"score_spread":0.32163988836356794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415436325","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028780306,0.9981596,0.0003390838,0.00035296316,0.0001560725,0.00008137461,0.00008068746,0.0000047871545,0.0005375933],"genre_scores_gemma":[0.0021356079,0.99680424,0.00055723893,0.0001637549,0.000053604883,0.0001265085,0.000071361304,0.0000039339147,0.00008371475],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98947024,0.0036623667,0.0033355928,0.00086260936,0.0023778272,0.00029131386],"domain_scores_gemma":[0.9484382,0.039329853,0.0042021032,0.00092070224,0.006759429,0.00034967935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016823258,0.0016074805,0.003853851,0.020348344,0.0012905587,0.004510508,0.002378814,0.002719049,0.0034964818],"category_scores_gemma":[0.06488777,0.0013405553,0.0036945322,0.022211054,0.0021109823,0.0049292184,0.0024276217,0.0019383508,0.00073632254],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007363038,0.000050582737,0.0008548196,0.50439584,0.0009910427,0.00013081732,0.0014461301,0.00038808864,0.0002937309,0.003862239,0.008605494,0.4789076],"study_design_scores_gemma":[0.000016377442,0.000095439216,0.002746527,0.8456722,0.0033066468,0.00033699212,0.0016321343,0.00011721214,0.00026530295,0.0020725806,0.14369507,0.00004358846],"about_ca_topic_score_codex":0.013361767,"about_ca_topic_score_gemma":0.028913766,"teacher_disagreement_score":0.020348344,"about_ca_system_score_codex":0.003618318,"about_ca_system_score_gemma":0.018298939,"threshold_uncertainty_score":0.08897096},"labels":[],"label_agreement":null},{"id":"W4415522773","doi":"10.1080/15568318.2025.2572818","title":"Modeling bicycle choice behavior and its potential health impact: Case of first/last mile access to suburban rail","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Okanagan College","funders":"","keywords":"Mile; Vehicle miles of travel; Last mile (transportation); Mode choice; Public transport; Travel behavior; Poison control","score_opus":0.020854003361928677,"score_gpt":0.3768255049829781,"score_spread":0.35597150162104946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415522773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858686,0.00030858422,0.010708279,0.0006229891,0.000031733496,0.0000820435,0.00076773943,0.000043417218,0.0015665857],"genre_scores_gemma":[0.9936248,0.00016491389,0.0027431285,0.00005585936,0.000014427271,0.00009282273,0.00043231447,0.000009988039,0.0028617494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865484,0.00081406557,0.000027262515,0.00019938369,0.000042701726,0.0002617285],"domain_scores_gemma":[0.99335736,0.0055287997,0.0004131255,0.00016276668,0.00027200484,0.00026586605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002789795,0.0007538972,0.0007405808,0.00087060174,0.00058661384,0.0016866351,0.0016747573,0.0018478939,0.0058333343],"category_scores_gemma":[0.0055300724,0.00061008916,0.002048665,0.00081581867,0.00074201415,0.00079889357,0.0014247877,0.0016768266,0.00044851113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089356914,0.0014118234,0.28054622,0.00021628808,0.0004822759,0.0012174952,0.0012460784,0.68830717,0.0007414826,0.011254155,0.001300149,0.012383272],"study_design_scores_gemma":[0.00004811699,0.00029336053,0.023045085,0.000038706476,0.00012638063,0.00008536553,0.001134068,0.9714286,0.00014522232,0.0027871667,0.00083841174,0.000029548393],"about_ca_topic_score_codex":0.0920315,"about_ca_topic_score_gemma":0.0598663,"teacher_disagreement_score":0.0920315,"about_ca_system_score_codex":0.0016794686,"about_ca_system_score_gemma":0.0018776022,"threshold_uncertainty_score":0.18299162},"labels":[],"label_agreement":null},{"id":"W4416284283","doi":"10.1080/15568318.2025.2586219","title":"Factors influencing car ownership in Toronto: Insights from a hurdle-ordered model","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Infrastructure Canada","keywords":"Car ownership; Work (physics); Structural equation modeling; Sustainability; Mode choice; Sustainable transport","score_opus":0.01937025404149287,"score_gpt":0.31684250658598456,"score_spread":0.29747225254449167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416284283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98264724,0.00063272496,0.008621299,0.00093542313,0.000025682573,0.00010886022,0.0015435725,0.00007626561,0.005408955],"genre_scores_gemma":[0.995169,0.00029817232,0.0009359071,0.000031906427,0.000010045778,0.000032644628,0.0006929215,0.000011999694,0.0028172915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777275,0.0009054372,0.000088853136,0.00040269102,0.0002645664,0.00056576414],"domain_scores_gemma":[0.9949319,0.0029088159,0.0009135942,0.00031626705,0.00045950277,0.00046995495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018900054,0.0010514755,0.0009768426,0.0015375328,0.0010676658,0.0024932874,0.0015304522,0.0008367769,0.0068139373],"category_scores_gemma":[0.0073328437,0.0007018867,0.0017600585,0.0013890319,0.0011880883,0.0010548261,0.002181459,0.001211798,0.00074301753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004071763,0.00021463928,0.7961068,0.00016521881,0.00074636645,0.0022112452,0.0050907647,0.14658001,0.00072769,0.029003097,0.0036725355,0.015074302],"study_design_scores_gemma":[0.00008830422,0.00031591012,0.30882356,0.00014808569,0.00050649,0.00047064203,0.006568494,0.6563435,0.00029221422,0.019283699,0.0070188954,0.00014012879],"about_ca_topic_score_codex":0.5370436,"about_ca_topic_score_gemma":0.49309784,"teacher_disagreement_score":0.46295643,"about_ca_system_score_codex":0.0059890556,"about_ca_system_score_gemma":0.0037488916,"threshold_uncertainty_score":0.9313657},"labels":[],"label_agreement":null}]}