{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003558929,0.0001153263,0.0005268471,0.0001373439,0.000386512,0.00001378791,0.0003993647,0.0001271178,0.00009224925],"category_scores_gemma":[0.003143116,0.00007268951,0.00006820877,0.000943273,0.00004892352,0.0001642442,0.00005999118,0.0007815802,0.00001771411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613215,"about_ca_system_score_gemma":0.003397606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004032036,"about_ca_topic_score_gemma":0.00005118616,"domain_scores_codex":[0.9957064,0.001182281,0.001876616,0.00006944893,0.0008627017,0.0003025639],"domain_scores_gemma":[0.991922,0.001492642,0.005133484,0.0003239117,0.0009028394,0.0002250995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002690418,0.0003240906,0.6857016,0.0007724596,0.0004326691,0.00000170272,0.01161589,0.0005838107,0.000008076164,0.000085026,0.1438782,0.1563274],"study_design_scores_gemma":[0.004892366,0.005862163,0.3446653,0.007827089,0.0002426645,0.0001105626,0.005115102,0.6138267,0.00002060627,0.00002396289,0.01701424,0.0003992673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943602,0.00002853275,0.003163122,0.000693783,0.0006562265,0.000371997,0.00001869985,0.00002039624,0.0006870481],"genre_scores_gemma":[0.9970778,0.0001482032,0.001585514,0.0006620691,0.0004009493,0.000003839878,0.00001362316,0.00001834711,0.0000896753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6132429,"threshold_uncertainty_score":0.6833465,"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."}}