{"id":"W4417413022","doi":"10.1108/dl-06-2008-0003","title":"Computerized Physician Order Entry","year":2008,"lang":"en","type":"article","venue":"Distance Learning","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Computerized physician order entry; Health care; Health care delivery; Adverse effect; Medical care; MEDLINE; Patient safety","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004256885,0.0001621129,0.0003526151,0.00004796793,0.001626465,0.000005195571,0.0001685846,0.0001369618,0.0002398522],"category_scores_gemma":[0.0001513897,0.0001563318,0.00005171054,0.0003615131,0.00005473683,0.0001077564,0.00005010109,0.001363047,0.001351301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000322519,"about_ca_system_score_gemma":0.0005180934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001654855,"about_ca_topic_score_gemma":0.00007432041,"domain_scores_codex":[0.997176,0.0008284913,0.00050314,0.0003133909,0.000256278,0.0009227379],"domain_scores_gemma":[0.9987817,0.0003560323,0.0003024783,0.0002616747,0.0001489026,0.0001491467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003865191,0.0002444146,0.8374588,0.001875533,0.0001166872,0.0001634602,0.03923852,0.0006822462,0.002410232,0.0181316,0.06339058,0.03590133],"study_design_scores_gemma":[0.001310204,0.0000797852,0.02347129,0.0003687939,0.000004709345,0.000005787316,0.001525197,0.002991724,0.00001374263,0.00008646708,0.9698905,0.0002517648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7843331,0.001214646,0.06464151,0.001512369,0.002164861,0.001219402,0.000005680376,0.0008798331,0.1440287],"genre_scores_gemma":[0.9719321,0.000162154,0.0008989055,0.002206979,0.0009125454,0.0001274595,0.00003068235,0.00005267765,0.02367654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9065,"threshold_uncertainty_score":0.9996733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329384271214977,"score_gpt":0.3875960500854149,"score_spread":0.3443022073732652,"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."}}