{"id":"W6907805167","doi":"10.25318/3510010501-fra","title":"Programmes d'exécution des ordonnances alimentaires, cas inscrits, selon la conformité aux paiements régulier et total, l'état des arriérés et l'état de cession au 31 mars, Canada et certaines provinces et territoires","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":"Context (archaeology); Investment (military); Term (time)","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":[0.001365676,0.001738943,0.001227258,0.00466702,0.00125592,0.002284306,0.002331719,0.001612698,0.02813338],"category_scores_gemma":[0.01077249,0.0007922982,0.0013967,0.01284471,0.0005547474,0.001271017,0.001426741,0.002122009,0.02093886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01099249,"about_ca_system_score_gemma":0.02297924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8461257,"about_ca_topic_score_gemma":0.9114229,"domain_scores_codex":[0.9983276,0.0001792787,0.0002195391,0.000388926,0.0005251139,0.0003595903],"domain_scores_gemma":[0.9933575,0.001245287,0.0005639233,0.0007939317,0.003500917,0.0005385278],"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":[0.00007469984,0.00001532859,0.004241836,0.0006186031,0.0000404583,0.00001672088,0.00005308081,0.000513752,0.00008324846,0.0008285967,0.9904365,0.003077149],"study_design_scores_gemma":[0.0001521983,0.00001228751,0.03387262,0.0005020604,0.00004635614,0.00003488264,0.0002583692,0.0007725751,0.0003540537,0.0009826047,0.9629514,0.00006053597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001519981,0.00005859473,0.00003890867,0.0000625183,0.0000135308,0.00000748931,0.9989216,0.00008931153,0.0006560117],"genre_scores_gemma":[0.0007792475,0.0001196636,0.0003052367,0.0000433182,0.000005597888,0.00005044378,0.9972319,0.00003823999,0.001426256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1538743,"threshold_uncertainty_score":0.309561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406655007867894,"score_gpt":0.3140917529161295,"score_spread":0.3000252028374505,"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."}}