{"id":"W2589523396","doi":"10.71781/939","title":"Patient and physician characteristics as predictors for consent to participate in an electronic medical record study","year":2004,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Montréal; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University; U.S. Department of Health and Human Services","keywords":"Electronic medical record; Medical record; Family medicine; Medicine; Medical education; Psychology; Data science; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001520713,0.0002928622,0.0004695568,0.0002686671,0.001009247,0.00002274795,0.0001341673,0.0002658891,0.00001514053],"category_scores_gemma":[0.0002113503,0.0003179304,0.0001032063,0.0001769612,0.00006628731,0.0001270441,0.00005986117,0.0003908157,0.000009318197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796415,"about_ca_system_score_gemma":0.00348499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006585535,"about_ca_topic_score_gemma":0.02031771,"domain_scores_codex":[0.9979922,0.00009071278,0.0004064686,0.0005028437,0.000590879,0.0004169373],"domain_scores_gemma":[0.9987493,0.0000868699,0.0002019795,0.0002543361,0.0001788395,0.0005286703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03571922,0.01063117,0.5327264,0.001328965,0.001522405,0.008723269,0.3268203,0.0001655962,0.006162907,0.005511614,0.00033866,0.07034951],"study_design_scores_gemma":[0.00865767,0.01216198,0.8898134,0.002054232,0.001233171,0.0002571786,0.06606212,0.0004599496,0.002607774,0.000676288,0.01496785,0.001048391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956419,0.00062038,0.00001690679,0.0002067844,0.0004302686,0.001667843,0.00004746638,0.00005105654,0.001317421],"genre_scores_gemma":[0.9972268,0.0001282495,0.00005708587,0.0003415959,0.0001085623,0.000132548,0.0006865856,0.0000265566,0.001291999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.357087,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463448229844622,"score_gpt":0.2463360776044045,"score_spread":0.2317015953059583,"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."}}