{"id":"W6945168329","doi":"10.25318/1310069601-fra","title":"Sentiment que le temps d'attente a eu des conséquences dans leur vie, selon le type de service et l'acceptabilité auto-déclarée du temps d'attente, population à domicile de 15 ans et plus, Canada","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; Context (archaeology); Ile de france; Smoking epidemiology","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":[0.00124955,0.0007184066,0.0008655039,0.002572818,0.001069178,0.002411317,0.00143707,0.0008322595,0.01804002],"category_scores_gemma":[0.01622256,0.0003579489,0.0009001837,0.008208435,0.0005731232,0.001103197,0.0008067164,0.00160256,0.007691334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01140279,"about_ca_system_score_gemma":0.01706069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9410474,"about_ca_topic_score_gemma":0.9498942,"domain_scores_codex":[0.9987237,0.0001357636,0.0001380417,0.0003367045,0.000403675,0.0002620698],"domain_scores_gemma":[0.9915906,0.001785884,0.0006312729,0.0005793024,0.005045937,0.0003670623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002197507,0.00002239591,0.07774519,0.0006746808,0.0001308746,0.00004459723,0.0002667454,0.0008700825,0.0001013552,0.001121219,0.9067225,0.01208051],"study_design_scores_gemma":[0.000153787,0.00002455309,0.4403522,0.0008940449,0.0002030183,0.000137055,0.001854334,0.002254853,0.0005787132,0.001186783,0.5522456,0.0001151428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004502171,0.0003440708,0.0001712132,0.0007276238,0.00006356063,0.00001970392,0.9894897,0.0001423342,0.004539622],"genre_scores_gemma":[0.03163799,0.0006086697,0.0008607542,0.0003602577,0.00003824068,0.0001012718,0.957388,0.0001214451,0.008883351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05895257,"threshold_uncertainty_score":0.1185995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087391507739253,"score_gpt":0.2632181010700547,"score_spread":0.2523441859926621,"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."}}