{"id":"W6964133834","doi":"10.25318/1010001601-fra","title":"Statistiques de finances publiques canadiennes pour l'administration publique fédérale","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":"Population; Term (time); Politics; Government (linguistics)","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":[0.002135702,0.001452847,0.00157127,0.009296244,0.0009248102,0.003025511,0.002303965,0.00165236,0.04129199],"category_scores_gemma":[0.02041411,0.001065603,0.001266483,0.02830444,0.0004783679,0.001468635,0.00139775,0.002704632,0.0306471],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01094414,"about_ca_system_score_gemma":0.02682585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.746738,"about_ca_topic_score_gemma":0.7512584,"domain_scores_codex":[0.9970918,0.000260704,0.0004799372,0.0004644421,0.001164587,0.0005385195],"domain_scores_gemma":[0.985207,0.002875326,0.0019885,0.001333749,0.00762583,0.0009695308],"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":[0.00003849356,0.00001062763,0.002513042,0.0004267487,0.00003077303,0.000009713983,0.00002205492,0.0002093638,0.00002044046,0.0006682262,0.9945621,0.001488422],"study_design_scores_gemma":[0.0002965793,0.0000143842,0.05648401,0.0006595932,0.00006059753,0.00004660428,0.0001674831,0.0004301929,0.0002047788,0.0007758618,0.9408079,0.00005209004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008480017,0.00005943176,0.00001528137,0.00005865567,0.00000935565,0.000004327909,0.9993914,0.00003285262,0.0003439043],"genre_scores_gemma":[0.0008574863,0.0001674545,0.0001544174,0.00004429766,0.00001175427,0.00006550948,0.9972995,0.00002745339,0.001372142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9890559,"threshold_uncertainty_score":0.5095069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049819813479893,"score_gpt":0.2842588290722397,"score_spread":0.2737606309374408,"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."}}