{"id":"W1841459564","doi":"","title":"HIMSS Analytics 2009 ICT Study: The State of E-Health in British Columbia","year":2009,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Business; Population; Politics; Information and Communications Technology; Public relations; Political science; Medicine; Economic growth; Economics; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.001928429,0.0001558044,0.000596048,0.0002027466,0.0002872021,0.0002025396,0.0004728377,0.0001063568,0.00002971474],"category_scores_gemma":[0.0001135791,0.0001894122,0.00007395738,0.001532537,0.00004768608,0.0002342133,0.00006617202,0.0006615624,0.00001463201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310043,"about_ca_system_score_gemma":0.000525093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4247277,"about_ca_topic_score_gemma":0.8479073,"domain_scores_codex":[0.9971305,0.0001349764,0.00100668,0.0004218059,0.0003184096,0.0009875891],"domain_scores_gemma":[0.9985941,0.00003559723,0.0005747461,0.0005259831,0.0002431513,0.00002641325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001540105,0.000421368,0.1917469,0.0002773479,0.00003221616,0.00002984287,0.0002793657,0.00003076926,0.00001046155,0.001168871,0.007083471,0.798904],"study_design_scores_gemma":[0.001118246,0.0006611572,0.9266749,0.0001727135,0.00001595134,0.00001444322,0.001639313,0.000616313,0.000002494889,0.01447864,0.05429886,0.0003069486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719062,0.005159447,0.00002364946,0.02077729,0.0001603195,0.001475911,0.000009852809,0.0001480499,0.0003392452],"genre_scores_gemma":[0.9950519,0.0002170735,0.00001153676,0.004237523,0.0001898488,0.00002917335,0.00001695908,0.00002576269,0.0002202001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.798597,"threshold_uncertainty_score":0.7724004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785656686346229,"score_gpt":0.2746141167461886,"score_spread":0.2567575498827263,"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."}}