{"id":"W4400955929","doi":"10.3233/shti240119","title":"Complexities of a Provincial CIS Implementation: Thinking Beyond Scale","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority","funders":"","keywords":"Implementation; Computer science; Nova scotia; Scale (ratio); Process management; Knowledge management; Data science; Business; Software engineering; Geography","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":[0.002233658,0.0001132118,0.0004030673,0.0007129345,0.0007965076,0.000006760601,0.0001113208,0.0001971887,0.00004682244],"category_scores_gemma":[0.0002166777,0.0000916096,0.00001894709,0.0006213628,0.0004275149,0.0003172777,0.0002083658,0.0007688149,0.00001856774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076252,"about_ca_system_score_gemma":0.0005423799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107,"about_ca_topic_score_gemma":0.0004505075,"domain_scores_codex":[0.9974003,0.00008209002,0.001786937,0.00008066733,0.000210268,0.0004396689],"domain_scores_gemma":[0.9989154,0.0004070711,0.0003663785,0.0001330858,0.0001225913,0.00005548454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003076759,0.00001374758,0.01987968,0.03803642,0.00004154678,0.000001292182,0.2553771,0.00000293907,4.762803e-7,0.5625519,0.01350841,0.1105557],"study_design_scores_gemma":[0.001177865,0.0007447237,0.003540731,0.005002463,0.00001540357,0.00001406161,0.731702,0.003511789,0.00001692894,0.1574225,0.09664058,0.0002109207],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8346588,0.03310305,0.006177092,0.07954632,0.005633221,0.004903962,0.0001807019,0.001273049,0.0345238],"genre_scores_gemma":[0.9814382,0.005580537,0.007993537,0.004452839,0.0001395415,0.0002504761,0.00002783423,0.00001078903,0.0001062137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4763249,"threshold_uncertainty_score":0.6126173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2415331349786278,"score_gpt":0.5352851891301932,"score_spread":0.2937520541515654,"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."}}