{"id":"W4386454294","doi":"10.2139/ssrn.4555409","title":"Applying Contextual Integrity to the Development of Polypharmacy Indicators in Canada","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval","funders":"","keywords":"Polypharmacy; Data integrity; Psychology; Regional science; Environmental planning; Geography; Medicine; Computer science; Computer security; Intensive care medicine","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":[0.02258548,0.0003468754,0.00098062,0.005417002,0.006456845,0.00604087,0.002078633,0.000662664,0.001477152],"category_scores_gemma":[0.1201252,0.000456887,0.0008852425,0.01237502,0.002012209,0.002034234,0.006205713,0.002343134,0.0001225951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1018418,"about_ca_system_score_gemma":0.3412247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883466,"about_ca_topic_score_gemma":0.9918811,"domain_scores_codex":[0.9774606,0.005968148,0.002521067,0.001201653,0.009542664,0.003305806],"domain_scores_gemma":[0.8792352,0.02505596,0.0122027,0.003839319,0.0713765,0.008290253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002203042,0.0002843227,0.8819818,0.0004904625,0.0002492977,0.000152141,0.01604218,0.002835002,0.0001817729,0.007015939,0.008219653,0.08232714],"study_design_scores_gemma":[0.00005681461,0.0002022006,0.9455934,0.00114106,0.0002382368,0.00004640799,0.01846346,0.009095793,0.001030208,0.002729537,0.02128402,0.0001188349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394678,0.001879554,0.005983609,0.01670434,0.0001877981,0.001508978,0.007008626,0.0001432697,0.0271159],"genre_scores_gemma":[0.9891402,0.0005078447,0.007771901,0.0003961987,0.00001967807,0.0003389123,0.001145718,0.00002103134,0.0006584309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018418,"threshold_uncertainty_score":0.7389172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07360605097201532,"score_gpt":0.3753590192189371,"score_spread":0.3017529682469218,"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."}}