{"id":"W1940876700","doi":"","title":"Exploring slow institutional variables in healthcare context: A study of electronic health record in Canada","year":2008,"lang":"en","type":"article","venue":"ASAC","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interim; Context (archaeology); Health care; Electronic health record; Duration (music); Scale (ratio); Politics; Public relations; Political science; Psychology; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000199772,0.0001005974,0.0002279878,0.0002106369,0.0001574132,0.000009877576,0.0001198203,0.00001023546,0.00003569841],"category_scores_gemma":[0.00004916994,0.0001032963,0.00001209856,0.0007956383,0.00001441995,0.0004281124,0.00009367889,0.0001034624,0.00000533301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004618454,"about_ca_system_score_gemma":0.0005223119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746066,"about_ca_topic_score_gemma":0.9940984,"domain_scores_codex":[0.9989286,0.0000150428,0.0003452116,0.0001826292,0.0002480355,0.0002804446],"domain_scores_gemma":[0.9996826,0.00002531261,0.0001296725,0.00008897803,0.00006542593,0.000007988007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002013426,0.0001339791,0.9745036,0.000101053,0.00001618881,0.00001619628,0.0002020112,0.0003694232,4.629827e-7,0.02129137,0.001052082,0.002293462],"study_design_scores_gemma":[0.000920133,0.00002924908,0.9854479,0.00006014623,0.000003640465,4.253758e-7,0.002170568,0.0003187764,9.954232e-7,0.0006369489,0.01028997,0.0001212238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996006,0.0004305133,0.0000284813,0.002192566,0.0001902098,0.0003624942,0.000001157,0.00001531979,0.0007733066],"genre_scores_gemma":[0.9983553,0.0002079749,0.0000178335,0.001206154,0.0001043629,0.0000430582,0.00001301717,0.000008967901,0.00004330069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02065442,"threshold_uncertainty_score":0.4212299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710471071991857,"score_gpt":0.2243463927268398,"score_spread":0.1672416820069212,"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."}}