{"id":"W2107042346","doi":"10.1136/jamia.2000.0070569","title":"Impact of a Computer-based Patient Record System on Data Collection, Knowledge Organization, and Reasoning","year":2000,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Data collection; Data science; Patient record; Artificial intelligence; Information retrieval; Medical emergency; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01082516,0.0003810882,0.000285974,0.0007827832,0.001033405,0.002250088,0.0007335117,0.000894023,0.003095019],"category_scores_gemma":[0.1316841,0.0003437895,0.0006063143,0.0006155138,0.0009737066,0.00141235,0.001360773,0.000909897,0.0002549075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649195,"about_ca_system_score_gemma":0.00201222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835405,"about_ca_topic_score_gemma":0.002658741,"domain_scores_codex":[0.9809378,0.01365377,0.001179256,0.0008615428,0.002710828,0.0006568028],"domain_scores_gemma":[0.7142385,0.2554562,0.01572701,0.005311455,0.004643491,0.004623328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01720617,0.01564575,0.4685825,0.001958258,0.000813805,0.001199637,0.0197962,0.005114922,0.02454195,0.0006230428,0.001810522,0.4427072],"study_design_scores_gemma":[0.000905237,0.01974294,0.9514143,0.0005068093,0.0006159272,0.0009918463,0.005795354,0.005914424,0.009115828,0.0005011745,0.004352348,0.0001437413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969483,0.0003155807,0.0007186668,0.0004296021,0.00001973883,0.0001177509,0.00004538534,0.00006742543,0.001337549],"genre_scores_gemma":[0.9965029,0.0001372941,0.002779687,0.0001711941,0.00002272448,0.0000960996,0.00005511498,0.000008974444,0.000226209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082516,"threshold_uncertainty_score":0.05724961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206487179797871,"score_gpt":0.3816029858997074,"score_spread":0.3595381141017287,"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."}}