{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01799602,0.0006787239,0.0008039892,0.002447161,0.00478692,0.00536127,0.004456023,0.0007649098,0.00425029],"category_scores_gemma":[0.03537923,0.0006307738,0.00034439,0.004544011,0.002617724,0.00485785,0.0007633386,0.002943134,0.0006385988],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00691021,"about_ca_system_score_gemma":0.123104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9825686,"about_ca_topic_score_gemma":0.9999201,"domain_scores_codex":[0.9769482,0.001556144,0.00151517,0.002515261,0.01580298,0.001662244],"domain_scores_gemma":[0.9834009,0.006116571,0.0008835936,0.001165604,0.007386248,0.001047056],"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":[0.00007609903,0.0001822667,0.0002321719,0.00004442138,0.00009195532,0.00006099284,0.0002443832,0.01009772,0.00007878194,0.1118214,0.8716205,0.005449351],"study_design_scores_gemma":[0.0008052085,0.00005256792,0.001912949,0.0003024576,0.0000199167,0.0000888801,0.0006241744,0.007634641,0.000114584,0.003601871,0.9841852,0.0006575821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0015754,0.002882923,0.01223867,0.6281813,0.0180281,0.002852871,0.008741985,0.00009385401,0.3254049],"genre_scores_gemma":[0.05782398,0.0004910179,0.002135273,0.001723164,0.001389771,0.0004715871,0.003279816,0.0001638773,0.9325215],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6264581,"threshold_uncertainty_score":0.9996144,"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."}}