{"id":"W6964126235","doi":"10.25318/3510010801-fra","title":"Programmes d'exécution des ordonnances alimentaires, cas inscits, selon le montant du paiement régulier dû en mars, l'âge du payeur et l'état des arriérés, Canada et certaines provinces et territoires","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Order (exchange); Agency (philosophy); 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":[0.001775882,0.001504603,0.001387102,0.005122222,0.001207092,0.002161028,0.002710798,0.001699553,0.0443246],"category_scores_gemma":[0.01512652,0.0008178962,0.001349071,0.01343976,0.0004627937,0.001313226,0.001517522,0.002069142,0.02197934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008769172,"about_ca_system_score_gemma":0.01868198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6668016,"about_ca_topic_score_gemma":0.7773099,"domain_scores_codex":[0.9978714,0.0002508688,0.0003734917,0.0005296832,0.0006022004,0.0003723905],"domain_scores_gemma":[0.9914453,0.00216442,0.0009481222,0.001053566,0.003688742,0.0006998227],"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":[0.00008555176,0.00001270113,0.003135063,0.001058305,0.00005723377,0.00001467529,0.00004492094,0.0003590905,0.00006118752,0.0007975077,0.9917841,0.002589635],"study_design_scores_gemma":[0.0002456723,0.00001067582,0.02838,0.0008595606,0.00006797854,0.00003295863,0.0001545404,0.0004252733,0.0002796167,0.0009735635,0.9685236,0.00004664315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008428087,0.00004145311,0.00002701605,0.00003245198,0.000007531375,0.000005972109,0.9992866,0.00004878956,0.000465933],"genre_scores_gemma":[0.0006067997,0.00008700637,0.0002548378,0.00003541143,0.000004169623,0.00006516663,0.9979861,0.00003326345,0.0009272819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3331984,"threshold_uncertainty_score":0.6703212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008538696425415132,"score_gpt":0.2256621264087723,"score_spread":0.2171234299833572,"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."}}