{"id":"W2038140425","doi":"10.3917/riges.401.0036","title":"Productivité : quelles régions sont les moteurs économiques du Québec ?","year":2015,"lang":"fr","type":"article","venue":"Gestion","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists; HEC Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001345195,0.0002923033,0.0003322734,0.001686124,0.003250468,0.004836134,0.000971671,0.000638847,0.01173068],"category_scores_gemma":[0.002985742,0.0002049395,0.0002622833,0.004315624,0.003145749,0.002096158,0.000861799,0.001052799,0.0006446488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0358979,"about_ca_system_score_gemma":0.03287358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.980022,"about_ca_topic_score_gemma":0.9897407,"domain_scores_codex":[0.9989667,0.000209289,0.00002611844,0.0001718619,0.0003225085,0.0003036409],"domain_scores_gemma":[0.9974559,0.0002722341,0.0003420562,0.0001125618,0.001360161,0.0004570622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003917245,0.0001059471,0.377085,0.001325219,0.0003718406,0.0006874747,0.03669424,0.002161672,0.003879534,0.2389164,0.07210075,0.2662802],"study_design_scores_gemma":[0.00001736731,0.00005311332,0.7076325,0.000808276,0.0000938049,0.000115377,0.01953244,0.0009812185,0.0009952598,0.007055636,0.262635,0.00008009583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478484,0.0347023,0.007322671,0.06456075,0.0003316253,0.0001274027,0.007721995,0.0001955407,0.3371893],"genre_scores_gemma":[0.9530293,0.006999984,0.001614338,0.001459193,0.00005018749,0.00003670717,0.000802588,0.00004160023,0.03596609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0358979,"threshold_uncertainty_score":0.2604587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06752675620295988,"score_gpt":0.2830818585250856,"score_spread":0.2155551023221257,"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."}}