{"id":"W3177164926","doi":"10.2196/25957","title":"Sex Differences in Electronic Health Record Navigation Strategies: Secondary Data Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Staring; Gaze; Saccadic masking; Medicine; Usability; Psychology; Demography; Eye movement; Communication; Computer science; Ophthalmology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004780321,0.0004895889,0.001082907,0.002695002,0.0005605237,0.0006781388,0.0006284413,0.0004929726,0.008959599],"category_scores_gemma":[0.01586095,0.0002566171,0.001632413,0.002477281,0.0003742126,0.0006474717,0.001055667,0.0007761065,0.001191757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092782,"about_ca_system_score_gemma":0.001089545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322345,"about_ca_topic_score_gemma":0.002234025,"domain_scores_codex":[0.9963014,0.0009570281,0.000641075,0.0005784454,0.001111148,0.0004108177],"domain_scores_gemma":[0.9797806,0.01110827,0.004234729,0.001162191,0.003101169,0.0006130961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002076864,0.0005081267,0.9731929,0.0007711679,0.0004332649,0.00019403,0.002761038,0.0001420374,0.001214559,0.0002157066,0.002040203,0.01645008],"study_design_scores_gemma":[0.0001389699,0.002313096,0.9903971,0.0001442453,0.0003214555,0.0002504714,0.002609994,0.0006160421,0.0008795774,0.0001219946,0.002185806,0.00002112038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844073,0.0003392118,0.001395869,0.00007970762,0.00002837722,0.001671513,0.009818382,0.00003349634,0.002226094],"genre_scores_gemma":[0.9876444,0.0001295229,0.001865035,0.0001088786,0.00002884993,0.004483334,0.004477393,0.00003047973,0.001232152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008959599,"threshold_uncertainty_score":0.02997279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1329180563751444,"score_gpt":0.4724951056879154,"score_spread":0.339577049312771,"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."}}