{"id":"W4402035774","doi":"10.32920/26882503.v1","title":"Improving Healthcare Data Usability for Clinicians and Patients","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University; Canadian Institute for Health Information; Ontario Ministry of Labour","funders":"","keywords":"Usability; Health care; Medicine; Psychology; Data science; Computer science; Human–computer interaction; Political 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":[0.113788,0.0007633752,0.001487461,0.002919169,0.003602586,0.02461831,0.003411587,0.0041703,0.01019337],"category_scores_gemma":[0.3978695,0.0009026754,0.001621673,0.002296577,0.004649559,0.01512765,0.01456416,0.00439173,0.007350192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003463712,"about_ca_system_score_gemma":0.01003373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133534,"about_ca_topic_score_gemma":0.002054026,"domain_scores_codex":[0.8132463,0.1433955,0.01495978,0.005191564,0.02030332,0.00290351],"domain_scores_gemma":[0.6108477,0.2275359,0.02313021,0.05121891,0.07376389,0.0135035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007751586,0.0007035623,0.06043886,0.001917892,0.0002720967,0.000755587,0.04394473,0.0005818729,0.002330699,0.01777554,0.1563721,0.7141319],"study_design_scores_gemma":[0.0005157149,0.002237709,0.05692102,0.007711417,0.00053791,0.005013664,0.0988915,0.004670696,0.008365377,0.08309962,0.731212,0.0008233559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.1735181,0.01644213,0.1387081,0.5259333,0.005257379,0.003173346,0.002776568,0.004649751,0.1295414],"genre_scores_gemma":[0.7217222,0.01004451,0.1642268,0.07970118,0.00347727,0.002607829,0.003034748,0.001462466,0.01372305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.113788,"threshold_uncertainty_score":0.6017755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08111131650041353,"score_gpt":0.4166335162759749,"score_spread":0.3355221997755614,"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."}}