{"id":"W4399411401","doi":"10.1515/9782763737126-002","title":"Dynamiques Régionales 2015-2016","year":2017,"lang":"fr","type":"book-chapter","venue":"","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009023061,0.0008851227,0.0004029396,0.002410009,0.001730454,0.004990919,0.0005894287,0.0007651026,0.03025902],"category_scores_gemma":[0.001606527,0.0003973502,0.0007630291,0.003662045,0.001464842,0.00272698,0.001355008,0.001801618,0.004949075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01433134,"about_ca_system_score_gemma":0.006359119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1866921,"about_ca_topic_score_gemma":0.1516728,"domain_scores_codex":[0.9993818,0.0001181026,0.00002199575,0.0001498862,0.0002029183,0.000125329],"domain_scores_gemma":[0.9996834,0.00009836872,0.00003539393,0.00005189638,0.00009359021,0.00003737949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007840756,0.00001887792,0.001416043,0.0001978656,0.00002561393,0.0001286656,0.002471832,0.001177376,0.0004389518,0.8056713,0.08276726,0.1056078],"study_design_scores_gemma":[0.000005812664,0.000004952985,0.00312169,0.0001345212,0.000006433106,0.00008249932,0.0004892022,0.000211352,0.0001512997,0.01116194,0.9846231,0.00000717097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02206553,0.05026824,0.006755551,0.009081763,0.002005904,0.00003444178,0.004855414,0.0007550092,0.9041782],"genre_scores_gemma":[0.2514856,0.02763708,0.005094902,0.0006951033,0.000976635,0.0001428828,0.002658628,0.0008755047,0.7104336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1866921,"threshold_uncertainty_score":0.3712109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07610021120018379,"score_gpt":0.2980033144158238,"score_spread":0.22190310321564,"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."}}