{"id":"W7019223347","doi":"","title":"3. Évaluation de la qualité des soins et agrément : prise en compte de l’usager dans la province du Québec au Canada","year":2000,"lang":"fr","type":"other","venue":"Cairn.info","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public health; Context (archaeology); Population; Legislation","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":[0.001743214,0.0004159585,0.0003124296,0.00337143,0.002812099,0.002543613,0.0009027464,0.0004230166,0.01034422],"category_scores_gemma":[0.004257565,0.0002191232,0.0005187357,0.005809903,0.0009522017,0.0006083547,0.0007712395,0.0005281936,0.001205039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0411459,"about_ca_system_score_gemma":0.04122034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964546,"about_ca_topic_score_gemma":0.9981607,"domain_scores_codex":[0.9978272,0.000171496,0.00007018468,0.0001515711,0.001432074,0.0003474563],"domain_scores_gemma":[0.9905144,0.0004920464,0.0004102491,0.0001640365,0.00772945,0.0006898497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003386875,0.0002239508,0.7337867,0.0006470138,0.000208754,0.0004196381,0.01457629,0.00230068,0.003796985,0.003915085,0.03938611,0.2004001],"study_design_scores_gemma":[0.00001217711,0.00006448329,0.9551989,0.00009797847,0.00004280559,0.00004432878,0.007509557,0.0009129176,0.001372544,0.00009543946,0.03461387,0.00003504469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789952,0.00329126,0.002733647,0.003733811,0.0001182655,0.0004026321,0.03289961,0.0003766443,0.1664923],"genre_scores_gemma":[0.8388131,0.001310877,0.003895552,0.0003923042,0.00002270018,0.0001460879,0.007501301,0.0001093263,0.1478087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0411459,"threshold_uncertainty_score":0.2985358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399748565823186,"score_gpt":0.2599492805294025,"score_spread":0.2459517948711706,"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."}}