{"id":"W4367016685","doi":"10.7202/1098696ar","title":"Introduction","year":2023,"lang":"fr","type":"article","venue":"Enjeux et société Approches transdisciplinaires","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00255229,0.001017561,0.0006112427,0.001471222,0.002242121,0.006451271,0.002442676,0.004116133,0.2861997],"category_scores_gemma":[0.0074396,0.0002922868,0.0008896043,0.001827091,0.001624626,0.003968154,0.004485933,0.003546129,0.1509005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768854,"about_ca_system_score_gemma":0.004690116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005171535,"about_ca_topic_score_gemma":0.003873404,"domain_scores_codex":[0.9970611,0.0004672446,0.0001625367,0.0007810732,0.001162757,0.0003652647],"domain_scores_gemma":[0.9966475,0.0005611926,0.0002221064,0.0003264174,0.001803523,0.0004391974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001185441,0.00007038096,0.001478854,0.0009753721,0.0000162323,0.0003218766,0.001585916,0.0002074246,0.0006936349,0.07754666,0.7115507,0.2054345],"study_design_scores_gemma":[0.00000486618,0.00001495847,0.0005562045,0.0002907614,0.000003548512,0.0001407185,0.0002828498,0.00002608886,0.0001310012,0.003107968,0.9954335,0.000007515541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.005637398,0.02266441,0.01427175,0.07477883,0.03180894,0.0004674635,0.009550954,0.001859665,0.8389605],"genre_scores_gemma":[0.04959268,0.01953743,0.01092893,0.03910171,0.01165649,0.0006818542,0.009961908,0.001054504,0.8574845],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.7138003,"threshold_uncertainty_score":0.9574332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09193849630928239,"score_gpt":0.4414901717447894,"score_spread":0.349551675435507,"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."}}