{"id":"W6963915884","doi":"10.25318/1010002601-fra","title":"Emploi, salaires et traitements dans l'administration publique fédérale, pour les régions métropolitaines pour le mois de septembre","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Proposition; Public policy","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":[0.0007875361,0.00100525,0.0009430499,0.005484263,0.000655502,0.001893895,0.001281434,0.0007402714,0.03873976],"category_scores_gemma":[0.008336275,0.0005794952,0.0007801392,0.01569093,0.0003163338,0.001008678,0.0009505769,0.001284349,0.02812193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00599338,"about_ca_system_score_gemma":0.009626836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5991188,"about_ca_topic_score_gemma":0.6719161,"domain_scores_codex":[0.9989655,0.0000984341,0.0001681895,0.0002390044,0.0003526305,0.0001762593],"domain_scores_gemma":[0.9959214,0.0008845434,0.0005046683,0.0003846809,0.002066826,0.0002378603],"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":[0.00005323564,0.00001046717,0.005916834,0.0007701064,0.00004348365,0.00001688755,0.00004799606,0.0002656441,0.00005530997,0.0006108618,0.9886077,0.003601496],"study_design_scores_gemma":[0.0001338592,0.00000934163,0.0542752,0.0005709858,0.00004138903,0.00003851433,0.0002507492,0.0002575096,0.0002594995,0.0004986469,0.9436316,0.00003255842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001449661,0.00005202728,0.00001423425,0.00004012006,0.000007531611,0.000002793287,0.9992035,0.00003262954,0.0005021891],"genre_scores_gemma":[0.001157015,0.0001673609,0.0001407574,0.00003907198,0.000007031691,0.0000377219,0.9969288,0.0000277328,0.001494589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4008812,"threshold_uncertainty_score":0.8064841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342366434154047,"score_gpt":0.2528001997267275,"score_spread":0.239376535385187,"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."}}