{"id":"W3200244175","doi":"10.2196/29174","title":"Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Genève","keywords":"Computer science; Process (computing); Scalability; Quality (philosophy); Information retrieval; Data science; Database","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":[0.05366526,0.0008882686,0.0007452423,0.008378223,0.004022046,0.01137903,0.004596466,0.002228266,0.006520877],"category_scores_gemma":[0.1279217,0.001121448,0.001642057,0.007929876,0.00422901,0.02510325,0.01786929,0.003108631,0.004229846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006234777,"about_ca_system_score_gemma":0.02329425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012259,"about_ca_topic_score_gemma":0.009654005,"domain_scores_codex":[0.9641992,0.01980889,0.003393061,0.00388943,0.007422105,0.001287275],"domain_scores_gemma":[0.8484009,0.06455714,0.008953068,0.03239817,0.03726637,0.008424373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004435369,0.002327099,0.06357977,0.004082406,0.0001915772,0.002366402,0.08627401,0.004559424,0.008480577,0.03680708,0.03811645,0.7527717],"study_design_scores_gemma":[0.0003432537,0.002311722,0.06160977,0.007560475,0.0004495789,0.006011519,0.1471836,0.06250933,0.02760355,0.04506546,0.6386147,0.0007371682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3734302,0.003511284,0.53553,0.0306599,0.0006812767,0.007520236,0.009624741,0.009679972,0.02936241],"genre_scores_gemma":[0.2557528,0.001654599,0.7177763,0.0009036516,0.000120799,0.001953613,0.01514326,0.001777437,0.00491751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05366526,"threshold_uncertainty_score":0.2838125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166873294628453,"score_gpt":0.4069585595402914,"score_spread":0.3752898265940068,"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."}}