{"id":"W3200781175","doi":"10.2196/23789","title":"A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Documentation; Computer science; Medical record; Information system; Organizational unit; Data science; Incentive; Knowledge management; Medicine; Computer security; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02145397,0.000944863,0.0006341967,0.001246973,0.0007065921,0.001720787,0.002458096,0.001648736,0.003755009],"category_scores_gemma":[0.04787807,0.0007662274,0.001002206,0.0005874716,0.001323511,0.002069668,0.002528376,0.000913767,0.0006992242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411396,"about_ca_system_score_gemma":0.003767003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179507,"about_ca_topic_score_gemma":0.001070569,"domain_scores_codex":[0.9882371,0.008265695,0.001004348,0.0008797524,0.001137082,0.000476087],"domain_scores_gemma":[0.9477435,0.03754636,0.002532941,0.004867122,0.00493606,0.002373993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0171279,0.04442433,0.05078204,0.005210097,0.0005782799,0.002921418,0.01209063,0.06128303,0.04760081,0.01155697,0.004818533,0.7416059],"study_design_scores_gemma":[0.03252642,0.2861423,0.06362435,0.0009698521,0.002251852,0.003079949,0.007961001,0.5081117,0.05579647,0.009121127,0.02966836,0.0007466791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069772,0.0001425824,0.1716899,0.0003638956,0.00009067758,0.01670599,0.0002992047,0.001515434,0.00221515],"genre_scores_gemma":[0.5182946,0.0001286594,0.4662557,0.0002114939,0.00003498011,0.01333998,0.0002947918,0.0001719484,0.001267895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145397,"threshold_uncertainty_score":0.1134608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265703328109624,"score_gpt":0.5193749356058489,"score_spread":0.3928046027948865,"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."}}