{"id":"W6964173081","doi":"10.25318/1410033401-fra","title":"Taux de chômage, régions sociosanitaires (limites de 2017) et groupes de régions homologues","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Class (philosophy); Context (archaeology); Order (exchange)","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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001196284,0.001398643,0.001145622,0.000673553,0.001171617,0.0005260305,0.00144943,0.001055418,0.0006904602],"category_scores_gemma":[0.00850169,0.001767647,0.000191715,0.0007943684,0.0008179359,0.0004823849,0.0003447066,0.001845085,0.0009340858],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00947051,"about_ca_system_score_gemma":0.01242111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5020243,"about_ca_topic_score_gemma":0.9610569,"domain_scores_codex":[0.9917805,0.001614233,0.001279522,0.001264895,0.001575376,0.002485463],"domain_scores_gemma":[0.9888136,0.006355144,0.001363716,0.001388569,0.001059419,0.001019536],"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":[0.00005313858,0.0004832373,0.001870289,0.001068456,0.0004635632,0.001838242,0.001219462,0.0008149834,0.001847729,0.0188081,0.9706454,0.0008873662],"study_design_scores_gemma":[0.001167875,0.0005190248,0.2253999,0.002457795,0.004042329,0.001315782,0.00526127,0.008286037,0.001136732,0.01570434,0.7304005,0.004308339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003058777,0.001547797,0.01979832,0.002696738,0.001306761,0.001060678,0.9702264,0.0001212817,0.0001832483],"genre_scores_gemma":[0.03112704,0.002184436,0.0200271,0.0007422721,0.0004113537,0.0003212686,0.9424288,0.0004031944,0.002354494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4590326,"threshold_uncertainty_score":0.9998764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642941536329921,"score_gpt":0.3031242930128087,"score_spread":0.2866948776495095,"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."}}