{"id":"W3156664080","doi":"10.46747/cfp.6704303","title":"Optimizing handover for family medicine outpatients using an electronic medical record–integrated tool","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; University of Toronto; McMaster University","funders":"","keywords":"Handover; Electronic medical record; Process (computing); Medical record; Medicine; Computer science; Family medicine; Continuity of care; Telecommunications; Health care; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000214271,0.0003205654,0.0006572653,0.0002257471,0.0002764829,0.00003805299,0.0001911325,0.000214196,0.00009413853],"category_scores_gemma":[0.0002713101,0.0002715895,0.0001897067,0.0005461483,0.0001073506,0.0001786778,0.00002731451,0.0004038796,0.00002186124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008209542,"about_ca_system_score_gemma":0.004974559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257984,"about_ca_topic_score_gemma":0.01016519,"domain_scores_codex":[0.9974915,0.00006075222,0.00045026,0.0005466564,0.0004612062,0.0009895571],"domain_scores_gemma":[0.9974692,0.00007325542,0.00008972063,0.0004920452,0.0003989094,0.001476865],"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":[0.0009486099,0.001828461,0.009866758,0.0006436932,0.001740105,0.003058334,0.002411035,0.0002069627,0.123121,0.008636316,0.1027278,0.7448109],"study_design_scores_gemma":[0.01443815,0.003500983,0.01897069,0.002748996,0.0009060687,0.00004335213,0.009353383,0.03798816,0.003112991,0.001509671,0.9056082,0.001819324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761381,0.001512201,0.002281266,0.002342608,0.001025114,0.0007836433,0.0001074498,0.00009527839,0.01571439],"genre_scores_gemma":[0.8291649,0.0001174046,0.004046227,0.1625587,0.001218728,0.0000506117,0.0008935017,0.0001535654,0.001796379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8028804,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03261296776024003,"score_gpt":0.290989903725108,"score_spread":0.258376935964868,"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."}}