{"id":"W2605905113","doi":"10.1186/s12911-017-0445-1","title":"Ceiling effect in EMR system assimilation: a multiple case study in primary care family practices","year":2017,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Université du Québec à Trois-Rivières; HEC Montréal","funders":"Inforoute Santé du Canada; HEC Montréal","keywords":"Health informatics; Primary care; Assimilation (phonology); Primary health care; Medicine; Family medicine; Nursing; Public health; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01521177,0.0005242814,0.0008008391,0.002228799,0.0111869,0.003185295,0.001649557,0.00249978,0.002194034],"category_scores_gemma":[0.03545227,0.0009781142,0.0007707873,0.0023833,0.004753266,0.002836689,0.003948708,0.002879682,0.0001647728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01337159,"about_ca_system_score_gemma":0.007715427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09662344,"about_ca_topic_score_gemma":0.1728159,"domain_scores_codex":[0.9805027,0.0132913,0.0009285412,0.00127979,0.001889093,0.00210865],"domain_scores_gemma":[0.9520596,0.0347855,0.00638068,0.001663629,0.00261143,0.002499168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001226689,0.001053944,0.2343211,0.0002953222,0.00007106224,0.0252191,0.723192,0.000326088,0.0005867479,0.001126812,0.0004683031,0.01321688],"study_design_scores_gemma":[0.00003681166,0.0009651465,0.1663465,0.0004771656,0.0000745131,0.008651337,0.8172917,0.001691364,0.0006791895,0.0007746632,0.002925631,0.0000859668],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985518,0.0001555511,0.000348676,0.0003061223,0.000002751759,0.00009278614,0.00001812898,0.000002509423,0.0005217912],"genre_scores_gemma":[0.998513,0.0001746465,0.0008309094,0.0001501912,0.000005107748,0.00006954004,0.00001349779,0.000003604407,0.0002395356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09662344,"threshold_uncertainty_score":0.192122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359569854440239,"score_gpt":0.5083825640483589,"score_spread":0.372425578604335,"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."}}