{"id":"W6888914975","doi":"10.25318/1010004301-fra","title":"Recettes et dépenses, des régimes de retraite non-provisionnés fédéral, provinciaux et territoriaux, pour l'année financière se terminant le 31 mars","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":"Work (physics); Population; Work environment","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":[0.0007872986,0.001003571,0.001054764,0.008026518,0.0009795887,0.002233151,0.001427834,0.0008295018,0.02983817],"category_scores_gemma":[0.00768942,0.0006497831,0.0009056273,0.0183212,0.000427671,0.001102312,0.0009850885,0.001407822,0.0171411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008132698,"about_ca_system_score_gemma":0.01366187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8188848,"about_ca_topic_score_gemma":0.8652892,"domain_scores_codex":[0.9987561,0.0000970202,0.0001928346,0.0002636264,0.0004579378,0.0002325399],"domain_scores_gemma":[0.9950851,0.0008828958,0.0007611946,0.0003884454,0.002589251,0.0002931494],"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":[0.00008173295,0.00002015101,0.02148369,0.0008540751,0.00006980676,0.00003789541,0.0001380052,0.000502922,0.00008352537,0.001373024,0.9689567,0.006398487],"study_design_scores_gemma":[0.0001132572,0.00001362013,0.1278636,0.0006516228,0.00005228127,0.00006889831,0.0005651096,0.00040039,0.0002955807,0.0004988787,0.869426,0.00005077864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005656366,0.0001156204,0.00002716879,0.00006273262,0.00001204717,0.000006154071,0.9981481,0.00003833635,0.001024235],"genre_scores_gemma":[0.002774582,0.0003258568,0.0002333506,0.00004262941,0.00001045153,0.00005432609,0.993486,0.00002890202,0.003044035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1811152,"threshold_uncertainty_score":0.3643635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561481313735108,"score_gpt":0.2999934987505277,"score_spread":0.2843786856131766,"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."}}