{"id":"W4313493995","doi":"10.1080/15623599.2022.2159632","title":"An empirical evaluation of the causes leading to binding dispute resolution mechanisms in the Quebec construction industry","year":2023,"lang":"en","type":"article","venue":"International Journal of Construction Management","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Dispute resolution; Coding (social sciences); Empirical research; Computer science; Operations research; Political science; Business; Engineering; Law; Sociology; Epistemology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008922429,0.0001347393,0.0002005073,0.001934464,0.0001769612,0.0003226312,0.001331502,0.0000910478,0.0002113581],"category_scores_gemma":[0.000553011,0.00008588663,0.0001463523,0.002470471,0.0001711634,0.0009396231,0.0001981777,0.0003564006,0.00004098202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003124087,"about_ca_system_score_gemma":0.0001460061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006967015,"about_ca_topic_score_gemma":0.0004404327,"domain_scores_codex":[0.9937242,0.0006964488,0.001172454,0.0002618004,0.003962113,0.000183022],"domain_scores_gemma":[0.9972832,0.0002203546,0.0009573551,0.0003726604,0.001115358,0.00005109364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000232819,0.00009641582,0.1474959,0.00001343414,0.000247203,0.00002107705,0.002389934,0.06202832,0.00123064,0.08515558,0.005509005,0.6955796],"study_design_scores_gemma":[0.00351716,0.0002553394,0.7361947,0.0005145294,0.0003538893,0.0007109815,0.07317031,0.04459193,0.002824493,0.1085853,0.02876745,0.0005139015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732301,0.000007830702,0.01326105,0.005728716,0.005507539,0.0004412261,0.000008520678,0.00001809371,0.001796987],"genre_scores_gemma":[0.9966918,0.00002153586,0.002561022,0.000217154,0.0002293465,0.0000170958,0.000003828995,0.000006947821,0.0002513177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6950657,"threshold_uncertainty_score":0.3502355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1584646146791643,"score_gpt":0.4569797147606516,"score_spread":0.2985151000814873,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}