{"id":"W7039630314","doi":"","title":"Montréal et Québec : régions d'attraction et d'attrition","year":2008,"lang":"fr","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Identification (biology); Context (archaeology); Focus (optics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00181672,0.00132885,0.0008740795,0.003908503,0.005853755,0.006180269,0.002386249,0.002113589,0.1238851],"category_scores_gemma":[0.004369145,0.0006974247,0.001032541,0.0115631,0.001304405,0.001503742,0.002012546,0.002275683,0.009033097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06965903,"about_ca_system_score_gemma":0.1310782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946673,"about_ca_topic_score_gemma":0.9949428,"domain_scores_codex":[0.9972864,0.0002667652,0.0001133067,0.0002404268,0.000795671,0.001297385],"domain_scores_gemma":[0.9963392,0.0003404583,0.0003015558,0.0001438438,0.001528,0.001346938],"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":[0.0002617302,0.00009471448,0.0408192,0.0005280419,0.00008176191,0.0003341724,0.001685738,0.0007921776,0.0002596565,0.03160368,0.7701234,0.1534157],"study_design_scores_gemma":[0.00008723239,0.00003038825,0.1611664,0.0004591222,0.0000311514,0.0001576393,0.002851279,0.0006519384,0.000241171,0.001122777,0.8331326,0.00006828175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08021084,0.06247035,0.003144691,0.0729625,0.003985055,0.0008561551,0.256201,0.001630775,0.5185387],"genre_scores_gemma":[0.1954875,0.0116679,0.003061562,0.002515145,0.0003776526,0.0006454497,0.02488269,0.0004018494,0.7609603],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1238851,"threshold_uncertainty_score":0.505414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336420480015283,"score_gpt":0.4078094540967102,"score_spread":0.2741674060951819,"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."}}