{"id":"W1913534655","doi":"10.1111/j.1748-0361.2011.00386.x","title":"EMRs and Clinical IS Implementation in Hospitals: A Statewide Survey","year":2011,"lang":"en","type":"article","venue":"The Journal of Rural Health","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electronic medical record; Documentation; Medical record; Medicine; Medical emergency; Family medicine; Computer science","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":[0.002870813,0.000129266,0.0001664925,0.001362033,0.0002443509,0.000791335,0.00036793,0.0003763988,0.001436379],"category_scores_gemma":[0.01123467,0.0002523289,0.0002302185,0.002163785,0.0003326591,0.0009876348,0.000873007,0.0006316798,0.0002520838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009737177,"about_ca_system_score_gemma":0.001110426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228807,"about_ca_topic_score_gemma":0.01474074,"domain_scores_codex":[0.9967049,0.001337114,0.000645892,0.000318325,0.0006341059,0.0003596333],"domain_scores_gemma":[0.9811689,0.00413525,0.01001032,0.000727036,0.002375772,0.001582833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000148235,0.00004480191,0.9976171,0.000009448116,0.00001163473,0.000007630244,0.000137741,0.00004387536,0.00006599419,0.00001008598,0.0001476421,0.001889298],"study_design_scores_gemma":[0.00000155306,0.00005027412,0.9990819,0.000007899976,0.000003227721,0.00002131147,0.0004502877,0.0001281252,0.00004353042,0.000004516773,0.000205175,0.00000210695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981481,0.00006866879,0.0001634843,0.0002628212,0.000001924309,0.00001992667,0.0006878861,0.000009076879,0.0006380989],"genre_scores_gemma":[0.9989648,0.00006191583,0.0001751859,0.00008295762,0.000004019179,0.00001975704,0.0005634623,0.000001651608,0.0001261745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228807,"threshold_uncertainty_score":0.02443308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1807622653636477,"score_gpt":0.5616168894292026,"score_spread":0.3808546240655549,"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."}}