{"meta":{"query_hash":"5192dfc5c17f","filters":{"venue":"Pipelines 2022"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"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/5192dfc5c17f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Pipelines+2022"},"results":[{"id":"W4288084341","doi":"10.1061/9780784484272.024","title":"Application of SPF Large Displacement Type in Vancouver, Canada","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Displacement (psychology); Settlement (finance); Offset (computer science); Subsidence; Geology; Geotechnical engineering; Structural engineering; Engineering; Computer science; Mechanical engineering; Geomorphology","score_opus":0.0029048393953633313,"score_gpt":0.184665236285628,"score_spread":0.18176039689026469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288084341","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":[0.8976818,0.0004059249,0.0074944436,0.0006053324,0.000035934616,0.00030614503,0.0013996058,0.00025629453,0.091814436],"genre_scores_gemma":[0.98208976,0.00038955055,0.0061124014,0.000037476595,0.0000024835695,0.000030590945,0.0003307555,0.000018078374,0.010988948],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995048,0.000031907293,0.000017389437,0.00006753937,0.0002450507,0.00013330192],"domain_scores_gemma":[0.9994288,0.000058285368,0.000028364711,0.000028679311,0.00038247797,0.000073368006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027749786,0.00035300688,0.00021697044,0.0009854636,0.002627787,0.001180123,0.0006855756,0.00059417036,0.0029897161],"category_scores_gemma":[0.0010156855,0.000227023,0.0002557298,0.0018743343,0.0007181752,0.00029509296,0.0007963842,0.00039222476,0.00032077866],"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":[0.00056996767,0.00074641564,0.26285267,0.0006774591,0.000082493796,0.012645301,0.003917785,0.23509827,0.044477038,0.018570185,0.02580255,0.39455992],"study_design_scores_gemma":[0.0002027075,0.0009862598,0.5135326,0.00028074003,0.000088425164,0.0040449854,0.02049408,0.2966352,0.0285862,0.0048759,0.12997793,0.0002949523],"about_ca_topic_score_codex":0.96248287,"about_ca_topic_score_gemma":0.985422,"teacher_disagreement_score":0.03751713,"about_ca_system_score_codex":0.015721563,"about_ca_system_score_gemma":0.01893071,"threshold_uncertainty_score":0.11406845},"labels":[],"label_agreement":null},{"id":"W4288084738","doi":"10.1061/9780784484289.021","title":"Maximizing Your Investment: An Incremental Approach to Assessment of Critical Large Diameter Transmission Mains","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","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":"American Water (Canada)","funders":"","keywords":"Mains electricity; Pipeline (software); Reliability engineering; Reliability (semiconductor); Pipeline transport; Process (computing); Investment (military); Computer science; Transmission (telecommunications); Engineering; Risk analysis (engineering); Telecommunications; Electrical engineering; Business; Mechanical engineering; Power (physics)","score_opus":0.019939801966205636,"score_gpt":0.27624295707539465,"score_spread":0.256303155109189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288084738","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":[0.1542583,0.000339386,0.8039828,0.0019231524,0.000072045994,0.0030561115,0.0007652727,0.0008035039,0.03479939],"genre_scores_gemma":[0.57193565,0.00034328635,0.42307088,0.000164737,0.00003441788,0.000824765,0.00036373458,0.00007096258,0.0031914867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99584717,0.0016618293,0.00018141455,0.00036370318,0.001654735,0.00029119168],"domain_scores_gemma":[0.9896975,0.0056378026,0.0010521814,0.00042478496,0.0027863525,0.00040133155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005582458,0.0016449953,0.00083237485,0.005064617,0.0011013744,0.0041875057,0.00365244,0.0014006183,0.003051008],"category_scores_gemma":[0.022148613,0.00097420346,0.000765285,0.00231942,0.0014379622,0.004509947,0.00349712,0.0016856511,0.0003347295],"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":[0.0004062069,0.0010531746,0.052221335,0.00066562206,0.00027208228,0.0010896848,0.0027652497,0.5046101,0.013774027,0.04379086,0.005248473,0.37410328],"study_design_scores_gemma":[0.000042482025,0.0012157268,0.017816102,0.00017243857,0.00010772226,0.0003497282,0.003847414,0.9218757,0.0057959436,0.042411797,0.006154676,0.00021024684],"about_ca_topic_score_codex":0.010897284,"about_ca_topic_score_gemma":0.027294975,"teacher_disagreement_score":0.010897284,"about_ca_system_score_codex":0.0029273846,"about_ca_system_score_gemma":0.004670495,"threshold_uncertainty_score":0.029523194},"labels":[],"label_agreement":null},{"id":"W4288426668","doi":"10.1061/9780784484289.006","title":"How Can I Convince Finance to Fund My Asset Management Program?","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","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 Waterloo","funders":"","keywords":"Finance; Business; IT asset management; Asset management; Revenue; Cash flow; Asset (computer security); Current asset; Debt; Economics; Market liquidity; Computer science","score_opus":0.027884946949060043,"score_gpt":0.2529921689199672,"score_spread":0.22510722197090713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288426668","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020276387,0.0018190619,0.002081112,0.93056023,0.0056045074,0.000050951592,0.00008957595,0.00025848867,0.057508413],"genre_scores_gemma":[0.13703722,0.01350571,0.016578833,0.4226448,0.02084608,0.00046738648,0.00055446615,0.00057502073,0.38779053],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970487,0.0008128113,0.00006328644,0.00015828833,0.0011558515,0.0007611641],"domain_scores_gemma":[0.98126006,0.0026779873,0.0010439338,0.0006122665,0.0035534033,0.01085244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070164553,0.00069540436,0.00045118888,0.0015117892,0.0031903333,0.01159234,0.0010972186,0.006340267,0.0514663],"category_scores_gemma":[0.038628776,0.00028859597,0.00042228724,0.0008063979,0.0029663907,0.00894114,0.00418553,0.008153194,0.027074413],"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":[0.000017384245,0.00009996093,0.0012694313,0.000046604713,0.0000073979277,0.00008258184,0.0003154111,0.000073099654,0.00009444645,0.036453247,0.896004,0.06553639],"study_design_scores_gemma":[0.000028401011,0.00007997221,0.0021014826,0.00037992903,0.000006828188,0.00015698183,0.0010510936,0.000183236,0.00010590061,0.016760522,0.9791256,0.000020062233],"about_ca_topic_score_codex":0.0036819987,"about_ca_topic_score_gemma":0.0038106926,"teacher_disagreement_score":0.0514663,"about_ca_system_score_codex":0.0037449687,"about_ca_system_score_gemma":0.00973781,"threshold_uncertainty_score":0.17217195},"labels":[],"label_agreement":null},{"id":"W4288427154","doi":"10.1061/9780784484296.035","title":"Erosion Experiments on Culverts and Sewers Using a New Test Facility","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Hydraulic flow and structures","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":"Queen's University","funders":"","keywords":"Culvert; Sanitary sewer; Erosion; Environmental science; Civil engineering; Engineering; Computer science; Geotechnical engineering; Geology; Environmental engineering","score_opus":0.020560253814495506,"score_gpt":0.24254510347346495,"score_spread":0.22198484965896945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288427154","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":[0.9965659,0.00001153636,0.0026638077,0.000012648421,0.000005392801,0.00006735015,0.000111273795,0.00007976092,0.00048239026],"genre_scores_gemma":[0.98639464,0.000061413666,0.009815814,0.00004022747,0.0000043722985,0.00014268665,0.0005366121,0.00003289978,0.0029713036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995221,0.000036583155,0.00003048695,0.000105602776,0.00021373175,0.0000914971],"domain_scores_gemma":[0.9989969,0.0001674997,0.00014931898,0.0001513541,0.00032964264,0.0002053185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039965764,0.00043344076,0.0005176303,0.0003434686,0.00052949437,0.00034594262,0.0010088971,0.0005674054,0.0015410322],"category_scores_gemma":[0.00060498377,0.0002830156,0.0003713743,0.00037031528,0.00042315078,0.00039467416,0.0005820154,0.0007114412,0.00033940224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062296557,0.00082584255,0.010542404,0.000089739166,0.000020808993,0.000718201,0.00038691587,0.0033880179,0.97529674,0.00014810241,0.00021666601,0.007743548],"study_design_scores_gemma":[0.0003520016,0.019809783,0.07581542,0.000018662307,0.000057591827,0.000667443,0.00040557294,0.017143508,0.8821696,0.00009774154,0.0034110728,0.00005157464],"about_ca_topic_score_codex":0.0031898178,"about_ca_topic_score_gemma":0.007381674,"teacher_disagreement_score":0.0031898178,"about_ca_system_score_codex":0.0004147583,"about_ca_system_score_gemma":0.0004086128,"threshold_uncertainty_score":0.0063425303},"labels":[],"label_agreement":null},{"id":"W4288427426","doi":"10.1061/9780784484289.011","title":"Emergency Rehabilitation of Critical Water Main in Ottawa","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Computer science; Environmental science; Medicine; Physical therapy","score_opus":0.010105211518009924,"score_gpt":0.24742958540112073,"score_spread":0.2373243738831108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288427426","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":[0.9627893,0.0007320194,0.001978194,0.004450404,0.00015393573,0.0004697599,0.0010268006,0.00027245184,0.028127218],"genre_scores_gemma":[0.97818357,0.00054558896,0.0022423633,0.0004556682,0.000011771544,0.00007019635,0.00037001885,0.000031940846,0.01808896],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993636,0.000049716313,0.000022412276,0.00007023465,0.00013125264,0.00036278088],"domain_scores_gemma":[0.9991942,0.000047135425,0.00006656016,0.00002826873,0.00032368852,0.0003402134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027345822,0.00046445007,0.00021651163,0.00043351162,0.0065901773,0.0014693934,0.0011567665,0.0010531779,0.005758843],"category_scores_gemma":[0.0008033246,0.0003613659,0.0004517128,0.0005574801,0.0018219816,0.00074402895,0.0017848101,0.0009939991,0.00061651395],"study_design_candidate":"not_applicable","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":[0.0025778601,0.001501357,0.38008344,0.002492013,0.0003408677,0.055128127,0.049747378,0.03004579,0.09120082,0.010667527,0.09975073,0.27646413],"study_design_scores_gemma":[0.00012228124,0.0018953031,0.5130352,0.00074704987,0.00022391681,0.005835593,0.21299845,0.012289919,0.021265434,0.0034230808,0.22760293,0.0005609041],"about_ca_topic_score_codex":0.8526087,"about_ca_topic_score_gemma":0.97019726,"teacher_disagreement_score":0.14739132,"about_ca_system_score_codex":0.022151303,"about_ca_system_score_gemma":0.038625415,"threshold_uncertainty_score":0.29651862},"labels":[],"label_agreement":null},{"id":"W4288431179","doi":"10.1061/9780784484289.037","title":"The Level of Utilizing Water Pipeline Condition Assessment Tools by Public Owners: A Structured Survey","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Aecom (Canada)","funders":"","keywords":"Asset (computer security); Benchmarking; Maturity (psychological); Pipeline (software); Business; Service (business); Investment (military); Computer science; Risk analysis (engineering); Environmental economics; Computer security; Marketing; Economics","score_opus":0.07425665402345788,"score_gpt":0.27240520430635906,"score_spread":0.19814855028290118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288431179","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":[0.99794084,0.000025333158,0.00045964713,0.00014403975,0.0000017476879,0.000052350195,0.00024424135,0.000005954644,0.001125705],"genre_scores_gemma":[0.99850345,0.000079290985,0.000547587,0.00006395584,0.0000034356085,0.00009147745,0.00022675506,0.0000025346606,0.00048156825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959031,0.0015429413,0.00042873647,0.00035126295,0.0011845677,0.00058944075],"domain_scores_gemma":[0.9782169,0.008413156,0.006738919,0.0013504991,0.004371857,0.00090869097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053161825,0.0001159775,0.00023134802,0.0011423924,0.00032215845,0.001055478,0.00024071262,0.0005345346,0.0018592345],"category_scores_gemma":[0.015558043,0.00021736984,0.00027421955,0.0008644291,0.0006006406,0.0016931326,0.0009448373,0.00049510394,0.00054271024],"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":[0.00007248327,0.00026264435,0.96581674,0.000094122195,0.000022600658,0.00011401435,0.009961761,0.00021199154,0.001481132,0.0002068605,0.0007283128,0.021027315],"study_design_scores_gemma":[0.0000048630277,0.00059698493,0.9600688,0.00007248181,0.000012444055,0.000308959,0.033489242,0.00092380994,0.00083477265,0.00014596138,0.0035097627,0.00003176192],"about_ca_topic_score_codex":0.0022006135,"about_ca_topic_score_gemma":0.0024210403,"teacher_disagreement_score":0.0053161825,"about_ca_system_score_codex":0.0005999958,"about_ca_system_score_gemma":0.0009656841,"threshold_uncertainty_score":0.028114974},"labels":[],"label_agreement":null},{"id":"W4288433994","doi":"10.1061/9780784484296.019","title":"Montebello Filtration Plant Infrastructure Improvements","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","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":"Thompson Rivers University","funders":"","keywords":"Precast concrete; Mortar; Water pipe; Engineering; Civil engineering; Archaeology; Mechanical engineering; History","score_opus":0.004821990866906446,"score_gpt":0.18372213776059468,"score_spread":0.17890014689368824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288433994","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112391,0.0031742034,0.036425117,0.012759711,0.0029459216,0.00077009294,0.0029536844,0.00781823,0.8207619],"genre_scores_gemma":[0.45507085,0.0024723834,0.03135411,0.003239584,0.00080840976,0.00032718637,0.0050238715,0.0007168393,0.5009868],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985298,0.00010871006,0.00002540217,0.00022331464,0.00064929813,0.00046342524],"domain_scores_gemma":[0.99885917,0.000057983114,0.000072168026,0.00010412414,0.00061204337,0.0002945701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009739562,0.0009796796,0.0002534858,0.0015958688,0.0034305428,0.0026903616,0.0016399606,0.0012425303,0.07993429],"category_scores_gemma":[0.001908978,0.0003808992,0.0005559946,0.0013318083,0.0005184969,0.0016259652,0.0018584145,0.0019104194,0.008535715],"study_design_candidate":"not_applicable","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":[0.00044611262,0.00092338223,0.021386681,0.0005969973,0.000038519123,0.0019134146,0.0010528113,0.007470614,0.015489838,0.03197878,0.43340543,0.48529744],"study_design_scores_gemma":[0.000042475316,0.00019081829,0.02600431,0.00010303961,0.000016322245,0.00036700495,0.00043825968,0.0018255857,0.0024766265,0.0007269162,0.9677721,0.000036522266],"about_ca_topic_score_codex":0.13723151,"about_ca_topic_score_gemma":0.25281823,"teacher_disagreement_score":0.13723151,"about_ca_system_score_codex":0.008506749,"about_ca_system_score_gemma":0.008798782,"threshold_uncertainty_score":0.27286553},"labels":[],"label_agreement":null},{"id":"W4288434585","doi":"10.1061/9780784484302.003","title":"Using Machine Learning Techniques to Optimize Infrastructure Investment for the Water Distribution Network","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Water Systems and Optimization","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":true,"ca_institutions":"Regional Municipality of Ottawa","funders":"","keywords":"Computer science; Quality (philosophy); Investment (military); Service (business); Risk analysis (engineering); Artificial intelligence; Reliability engineering; Engineering; Business","score_opus":0.013612932307690333,"score_gpt":0.22217640880358608,"score_spread":0.20856347649589574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288434585","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":[0.21375628,0.0021334188,0.76831406,0.0024756826,0.00017927508,0.00027024077,0.0005633069,0.0011654816,0.011142261],"genre_scores_gemma":[0.89199376,0.0005607781,0.10264246,0.00023491938,0.00006852941,0.00021903867,0.00059483224,0.00010040792,0.0035853803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953103,0.00018463233,0.00002339883,0.00009506261,0.00007397774,0.00009198998],"domain_scores_gemma":[0.99823725,0.0012426958,0.0001818373,0.00005217338,0.00020853993,0.00007750545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001417402,0.0012687305,0.0009876126,0.0011413189,0.00040672562,0.0014204767,0.0009405531,0.0015204622,0.0023230608],"category_scores_gemma":[0.00514908,0.00069490186,0.00058852014,0.0012176463,0.00052624627,0.0015742135,0.0006676564,0.0013564548,0.0003731786],"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":[0.00002069132,0.000027188606,0.00069430587,0.000022483488,0.000017934513,0.00001982092,0.000008922757,0.98544323,0.00012732457,0.0006610282,0.0004451716,0.012511971],"study_design_scores_gemma":[0.0000038375656,0.000010882993,0.00008920152,0.000003848164,0.000003845295,0.0000022192467,0.0000055137652,0.99852127,0.000060577917,0.0011587937,0.00013841374,0.0000015795048],"about_ca_topic_score_codex":0.013624898,"about_ca_topic_score_gemma":0.0133011835,"teacher_disagreement_score":0.013624898,"about_ca_system_score_codex":0.0019204601,"about_ca_system_score_gemma":0.0020064006,"threshold_uncertainty_score":0.027091205},"labels":[],"label_agreement":null},{"id":"W4288435363","doi":"10.1061/9780784484296.001","title":"A Universal Framework for Implementation of an Assess and Fix Water Main Rehabilitation Program","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Manitoba Beekeepers' Association; Aecom (Canada)","funders":"","keywords":"Rehabilitation; Computer science; Physical therapy; Medicine","score_opus":0.08063590388843063,"score_gpt":0.5309539613263642,"score_spread":0.45031805743793357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288435363","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":[0.011198742,0.00063077355,0.78479195,0.025325177,0.00033428628,0.0066422108,0.00036906576,0.0010586499,0.1696492],"genre_scores_gemma":[0.2140368,0.00083494646,0.7473126,0.003920566,0.00014587639,0.008298972,0.00031390588,0.00018632217,0.024949962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.96342313,0.016800398,0.0030931416,0.0036102117,0.008935521,0.004137636],"domain_scores_gemma":[0.9750289,0.0077477023,0.0029836702,0.0024867917,0.007684936,0.0040680184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.051316388,0.0014738209,0.000889431,0.0047270386,0.0053175194,0.012429631,0.0059213554,0.008877659,0.008107676],"category_scores_gemma":[0.028612578,0.0011235275,0.0016251273,0.0017946177,0.01401101,0.008201482,0.010034604,0.0058284914,0.0031507278],"study_design_candidate":"not_applicable","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":[0.000023276332,0.0004199711,0.0018234686,0.000398531,0.00002528806,0.00024097876,0.0034881418,0.008389403,0.0010941761,0.93390363,0.006566074,0.04362712],"study_design_scores_gemma":[0.00015894114,0.0014151928,0.008806664,0.0046269186,0.0000949203,0.00047336618,0.010717304,0.02323715,0.0033582458,0.5189314,0.42786828,0.00031166416],"about_ca_topic_score_codex":0.02663037,"about_ca_topic_score_gemma":0.028532919,"teacher_disagreement_score":0.051316388,"about_ca_system_score_codex":0.018461902,"about_ca_system_score_gemma":0.087913826,"threshold_uncertainty_score":0.27139026},"labels":[],"label_agreement":null},{"id":"W4288436446","doi":"10.1061/9780784484289.033","title":"Use of Monte Carlo Simulation in Long-Term Capital Planning of Rehabilitation of Water Distribution Networks","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Water Systems and Optimization","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":true,"ca_institutions":"Hamilton Health Sciences; Manitoba Beekeepers' Association; Aecom (Canada)","funders":"","keywords":"Term (time); Monte Carlo method; Intervention (counseling); Selection (genetic algorithm); Computer science; Failure rate; Reliability engineering; Operations research; Engineering; Statistics; Mathematics; Artificial intelligence","score_opus":0.013763612192740369,"score_gpt":0.22461005604233455,"score_spread":0.2108464438495942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288436446","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":[0.28679326,0.000574036,0.6911151,0.00079767953,0.000077924546,0.0002768878,0.00039903336,0.0007532734,0.019212905],"genre_scores_gemma":[0.9305335,0.00022826971,0.06713505,0.000059007725,0.000016133123,0.00020886805,0.00015933349,0.00005827196,0.0016016325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992613,0.00049844413,0.000030010213,0.000059527763,0.000086901804,0.0000637464],"domain_scores_gemma":[0.9942941,0.0047403476,0.0002745611,0.00017803066,0.00036646798,0.0001465013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022532574,0.000676348,0.0009169246,0.00085548236,0.0009376639,0.0013602899,0.0011733248,0.0014052858,0.0017052192],"category_scores_gemma":[0.006891824,0.00075057213,0.000666138,0.001091684,0.0009072125,0.0008649321,0.00068098324,0.00083978474,0.00014563007],"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":[0.000008003409,0.0000063092534,0.0002965345,0.000003578581,0.000005075345,0.000009307308,0.00000778505,0.9980568,0.000027624443,0.000698126,0.00002513414,0.00085567025],"study_design_scores_gemma":[0.0000029206703,0.0000043110654,0.00006124306,0.0000022337802,0.0000023951413,0.0000018717709,0.0000050114695,0.9992906,0.000034832043,0.0005186775,0.0000728665,0.0000030280428],"about_ca_topic_score_codex":0.13997935,"about_ca_topic_score_gemma":0.117929585,"teacher_disagreement_score":0.13997935,"about_ca_system_score_codex":0.003122017,"about_ca_system_score_gemma":0.0030720704,"threshold_uncertainty_score":0.2783292},"labels":[],"label_agreement":null},{"id":"W4288438289","doi":"10.1061/9780784484272.008","title":"Steel Culvert Investigation from Field Testing to Design Equations","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","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":true,"ca_institutions":"Queen's University","funders":"","keywords":"Culvert; Axle; Truck; Structural engineering; Parametric statistics; Finite element method; Thrust; Arch; Engineering; Moment (physics); Flange; Tangent; Orthotropic material; Mechanical engineering; Mathematics; Automotive engineering","score_opus":0.03347085473450178,"score_gpt":0.22169403991114303,"score_spread":0.18822318517664124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288438289","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":[0.45119137,0.00037614247,0.48060298,0.00026309234,0.000029004234,0.00043552704,0.00054646394,0.0007853247,0.06577016],"genre_scores_gemma":[0.89834595,0.00031765082,0.093109414,0.00003340178,0.0000061229707,0.00015364069,0.00023873689,0.000050733066,0.0077444133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953973,0.00009153494,0.000022226726,0.000055400324,0.00026382372,0.000027275873],"domain_scores_gemma":[0.9993011,0.00028263114,0.00006384642,0.00009367048,0.0002444201,0.000014294292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079251954,0.00055816333,0.00031353574,0.0005172451,0.0002407356,0.00061616354,0.0008861004,0.00046585032,0.0029242004],"category_scores_gemma":[0.0014986669,0.0002894381,0.00025377478,0.0003460063,0.00040923335,0.00046388854,0.00029197935,0.0005088635,0.00048428462],"study_design_candidate":"bench_or_experimental","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":[0.00007490694,0.000222688,0.0047204485,0.00026462035,0.0000142531935,0.00037502506,0.00033721866,0.81235546,0.05188464,0.015448763,0.0016812637,0.11262081],"study_design_scores_gemma":[0.00003350121,0.00059250905,0.0027883656,0.000042311865,0.0000120065315,0.00019671414,0.00020843699,0.9542952,0.026373342,0.002921867,0.012516517,0.000019223928],"about_ca_topic_score_codex":0.0057978574,"about_ca_topic_score_gemma":0.010256387,"teacher_disagreement_score":0.0057978574,"about_ca_system_score_codex":0.00086545886,"about_ca_system_score_gemma":0.0006402145,"threshold_uncertainty_score":0.011528254},"labels":[],"label_agreement":null},{"id":"W4288439406","doi":"10.1061/9780784484272.011","title":"Trans Mountain Corporation Overcomes Numerous Challenges to Construct the Trans Mountain Expansion Project","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Corporation; Government (linguistics); Pipeline transport; Submarine pipeline; Schedule; Engineering; Civil engineering; Business; Computer science; Finance; Environmental engineering; Mechanical engineering","score_opus":0.021093369556560704,"score_gpt":0.2319062206124932,"score_spread":0.21081285105593248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288439406","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20923732,0.0014233482,0.09005109,0.0578158,0.0017045039,0.0017159051,0.001002231,0.0054092463,0.6316405],"genre_scores_gemma":[0.34108266,0.0017014946,0.1359515,0.0042979633,0.00024668901,0.00051879365,0.0024055007,0.0019679463,0.51182747],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966354,0.0003813524,0.00008037623,0.00029511953,0.0019137905,0.0006939475],"domain_scores_gemma":[0.9925949,0.00029124806,0.00017037752,0.0005043483,0.0037688413,0.0026703035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00348427,0.00047481057,0.00020584071,0.00078764005,0.006357263,0.005326695,0.0010258822,0.0013381641,0.021967169],"category_scores_gemma":[0.0038414523,0.0004475227,0.00029039333,0.0006661875,0.0013147013,0.0027845586,0.0029376948,0.0030721128,0.007345774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023552337,0.00069472776,0.02017769,0.0002972701,0.000022388882,0.004931869,0.008277893,0.0028480112,0.017429946,0.067688845,0.51699996,0.36039588],"study_design_scores_gemma":[0.000017185157,0.0002516474,0.005201945,0.00007689868,0.0000072764383,0.0009788596,0.004121725,0.0011579115,0.001720811,0.00092195644,0.98551166,0.00003206999],"about_ca_topic_score_codex":0.16094154,"about_ca_topic_score_gemma":0.3764673,"teacher_disagreement_score":0.83905846,"about_ca_system_score_codex":0.0037585886,"about_ca_system_score_gemma":0.037558272,"threshold_uncertainty_score":0.32000953},"labels":[],"label_agreement":null},{"id":"W4288441613","doi":"10.1061/9780784484289.025","title":"Failure Analysis of Asbestos Cement Pipe Using Recent Main Break Data","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","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":true,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Asbestos cement; Cement; Asbestos; Forensic engineering; Environmental science; Petroleum engineering; Geology; Materials science; Engineering; Composite material","score_opus":0.02795008686789931,"score_gpt":0.25140744210380594,"score_spread":0.22345735523590662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288441613","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":[0.99330795,0.00019614541,0.0020029675,0.000016131304,0.0000070133265,0.000024678551,0.0033109896,0.00008536967,0.0010487664],"genre_scores_gemma":[0.99424946,0.000120468,0.00083226594,0.0000033481558,0.0000066998923,0.000025119052,0.003482466,0.000013315955,0.0012667535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947566,0.00004282552,0.00005947005,0.00010405872,0.0002450529,0.00007289168],"domain_scores_gemma":[0.9970722,0.000679793,0.000904484,0.00019223227,0.000992912,0.0001582569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079246546,0.00062952604,0.00045299242,0.005817168,0.00030920323,0.00039890932,0.00053762295,0.0005278018,0.0019428033],"category_scores_gemma":[0.0020142694,0.00025796558,0.000897109,0.0023187625,0.0001984985,0.0005099198,0.00036773275,0.00037804962,0.0008542544],"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":[0.0004387469,0.00031316263,0.88400865,0.0002634457,0.00029560536,0.000816768,0.00053781015,0.05460812,0.017982367,0.00026521357,0.0010844779,0.039385688],"study_design_scores_gemma":[0.0000051826446,0.0005524331,0.9583768,0.000020955129,0.00006816159,0.00037299778,0.00026503802,0.035256613,0.0035796112,0.00008236423,0.0013892391,0.00003061263],"about_ca_topic_score_codex":0.01093033,"about_ca_topic_score_gemma":0.014456764,"teacher_disagreement_score":0.01093033,"about_ca_system_score_codex":0.00040645144,"about_ca_system_score_gemma":0.00027005942,"threshold_uncertainty_score":0.021733403},"labels":[],"label_agreement":null},{"id":"W4288447308","doi":"10.1061/9780784484289.015","title":"The Paris of the Prairies Leads the Way for Pipeline Management","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","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":true,"ca_institutions":"Saskatoon City Hospital","funders":"","keywords":"Pipeline (software); Computer science; Programming language","score_opus":0.006333362810975178,"score_gpt":0.20350720511111425,"score_spread":0.19717384230013907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288447308","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09670673,0.0037960107,0.036692813,0.06488757,0.0041748434,0.00067573215,0.0067372196,0.0046834657,0.78164566],"genre_scores_gemma":[0.26695758,0.0026336394,0.036627017,0.0049903938,0.00018162995,0.00012891044,0.0018210025,0.00076217996,0.68589765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938655,0.000110971734,0.000020247053,0.00013161715,0.0001991342,0.00015148059],"domain_scores_gemma":[0.99844164,0.000100158286,0.00009690663,0.00017389943,0.00070667244,0.0004807483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007884905,0.00066042604,0.0002490534,0.0006431429,0.0043685,0.0038219357,0.0007851948,0.0009305032,0.06385455],"category_scores_gemma":[0.0017799921,0.00042131197,0.00032998534,0.00093010115,0.0016418323,0.0015063946,0.003199045,0.0019262293,0.012806966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111551024,0.00011373684,0.044567205,0.00019430033,0.00006837099,0.0016625469,0.0032989108,0.0018325255,0.00715702,0.032135505,0.57551485,0.33334348],"study_design_scores_gemma":[0.000008928632,0.0000360808,0.02176411,0.000092942,0.000010610517,0.0002128064,0.0035151574,0.0007638896,0.0006658834,0.0017802954,0.97111154,0.00003777033],"about_ca_topic_score_codex":0.40207922,"about_ca_topic_score_gemma":0.6797356,"teacher_disagreement_score":0.5979208,"about_ca_system_score_codex":0.005669513,"about_ca_system_score_gemma":0.022523815,"threshold_uncertainty_score":0.7994777},"labels":[],"label_agreement":null},{"id":"W4288447644","doi":"10.1061/9780784484296.034","title":"Decision Making Process for the Most Appropriate Pipe Rehabilitation Method by Holistic Evaluation Technique","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","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":"Stantec (Canada)","funders":"","keywords":"Constructability; Pipeline transport; Rehabilitation; Construction engineering; Trenchless technology; Engineering; Driver rehabilitation; Sanitary sewer; Process (computing); Civil engineering; Computer science; Systems engineering; Mechanical engineering","score_opus":0.019617077315185374,"score_gpt":0.3246724782111981,"score_spread":0.30505540089601274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288447644","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":[0.026637996,0.000529156,0.955831,0.0007780916,0.00006528465,0.0039498555,0.0002129947,0.00021440559,0.011781243],"genre_scores_gemma":[0.10463521,0.00042085254,0.8918049,0.00008982182,0.000019990608,0.0019649607,0.00017968589,0.000037360947,0.0008472778],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98609936,0.008429241,0.001147631,0.000998009,0.0026731293,0.00065260305],"domain_scores_gemma":[0.9836451,0.010027735,0.0010962981,0.00041320856,0.004411774,0.00040593528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025158713,0.0015553235,0.002034305,0.0040968796,0.0020048935,0.0051584463,0.0017402497,0.0012901138,0.0084546525],"category_scores_gemma":[0.025398951,0.0006652948,0.0018707418,0.0028155365,0.0013163903,0.0027228312,0.002909095,0.0017536951,0.00074733153],"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":[0.0009124503,0.0010183814,0.0070444304,0.0042072483,0.00048662064,0.0007402706,0.006246716,0.19092265,0.018324709,0.08867262,0.008966022,0.6724579],"study_design_scores_gemma":[0.00040443958,0.0022585157,0.0062857345,0.001755145,0.0006906594,0.00035807502,0.012013822,0.81949,0.0140043385,0.11098066,0.031371556,0.00038702172],"about_ca_topic_score_codex":0.002719309,"about_ca_topic_score_gemma":0.004902988,"teacher_disagreement_score":0.025158713,"about_ca_system_score_codex":0.0031917195,"about_ca_system_score_gemma":0.009992449,"threshold_uncertainty_score":0.1330536},"labels":[],"label_agreement":null}]}