{"id":"W2130421964","doi":"10.1200/jco.2013.31.31_suppl.248","title":"The Ontario oncology electronic medical record (EMR): The integration of end user and provincial needs.","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Medicine; Focus group; Blueprint; Health care; Information system; Data collection; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01247328,0.000119052,0.0001973759,0.002225374,0.0044628,0.004544254,0.001150321,0.0006204383,0.002406827],"category_scores_gemma":[0.04758208,0.0002825691,0.00017354,0.005746175,0.002264666,0.002817081,0.00309753,0.0005300486,0.0002454378],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04127174,"about_ca_system_score_gemma":0.09337929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7931167,"about_ca_topic_score_gemma":0.8536695,"domain_scores_codex":[0.9860455,0.004475483,0.001109256,0.0004741127,0.006739557,0.001156012],"domain_scores_gemma":[0.9445238,0.02006042,0.007993509,0.001909602,0.01989484,0.005617811],"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":[0.000171603,0.0001487777,0.5510464,0.001688156,0.00002774674,0.0008178579,0.1480394,0.000299172,0.002111092,0.008279485,0.02744355,0.2599267],"study_design_scores_gemma":[0.00001378055,0.000107239,0.7580702,0.0006232257,0.00002153727,0.0004865904,0.1415061,0.001389142,0.0005951831,0.001005414,0.09613588,0.00004567605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390821,0.003431673,0.003291881,0.09227141,0.00008532909,0.000706692,0.003431097,0.0001537068,0.05754617],"genre_scores_gemma":[0.9865198,0.00150508,0.005736923,0.001575889,0.00003264425,0.0001480001,0.0008186296,0.00002805024,0.003634967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9587283,"threshold_uncertainty_score":0.4162033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2416861880799811,"score_gpt":0.5449903661789212,"score_spread":0.3033041780989401,"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."}}