{"id":"W2885666535","doi":"10.1093/heapro/day047","title":"Adapting a health equity tool to meet professional needs (Québec, Canada)","year":2018,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Santé Montérégie; Université Laval","funders":"","keywords":"Equity (law); Health equity; Public relations; Knowledge management; Business; Adaptation (eye); Population; Health literacy; Psychology; Health care; Political science; Medicine; Nursing; Public health; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01875054,0.0005188118,0.0003198778,0.003570419,0.006090792,0.004540675,0.001691244,0.001161348,0.01529153],"category_scores_gemma":[0.03112118,0.0003432936,0.0005292463,0.003825517,0.001561825,0.002264234,0.003545112,0.0009382107,0.001128434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05978403,"about_ca_system_score_gemma":0.1532102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9203681,"about_ca_topic_score_gemma":0.9561863,"domain_scores_codex":[0.9931343,0.00267119,0.0004458892,0.0003882863,0.002394058,0.0009662525],"domain_scores_gemma":[0.976886,0.01021264,0.0007166371,0.001069951,0.008709554,0.002405138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002029706,0.000699266,0.06093928,0.001539976,0.00003857122,0.0006471713,0.03646659,0.001452877,0.001872412,0.01753113,0.1056243,0.7729855],"study_design_scores_gemma":[0.0002991156,0.0005539152,0.2114632,0.003796418,0.0001141488,0.0004347061,0.0512219,0.006659543,0.003356879,0.007674819,0.7141425,0.0002828812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4291735,0.003609149,0.06563597,0.06613804,0.0009408674,0.01007305,0.01664633,0.004580068,0.4032031],"genre_scores_gemma":[0.6672471,0.002059876,0.2547228,0.003425499,0.00007057277,0.005990002,0.00431872,0.0002669828,0.06189843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07963187,"threshold_uncertainty_score":0.4337655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5183039199251039,"score_gpt":0.6614547510978348,"score_spread":0.1431508311727309,"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."}}