{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0308671,0.0008386616,0.001212049,0.002728594,0.01450062,0.02581291,0.005492105,0.004177649,0.005668137],"category_scores_gemma":[0.09579445,0.0009593817,0.001191687,0.00391161,0.03094054,0.02095496,0.01575003,0.009823518,0.0008471399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08303448,"about_ca_system_score_gemma":0.1295291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5428013,"about_ca_topic_score_gemma":0.4236571,"domain_scores_codex":[0.9544501,0.02087177,0.001369765,0.002542819,0.01125563,0.009509888],"domain_scores_gemma":[0.9368069,0.02932413,0.004310714,0.005661887,0.01626441,0.007631991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001915467,0.0002251382,0.03972564,0.001213229,0.0003282703,0.002034334,0.05545542,0.0249653,0.001427111,0.6984243,0.03705801,0.1389517],"study_design_scores_gemma":[0.0001102881,0.0004164828,0.04017845,0.002468368,0.0002101401,0.0005625382,0.1924927,0.01687233,0.00113399,0.576274,0.1690218,0.0002588149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1698845,0.007580481,0.0664824,0.4782664,0.001094816,0.001247841,0.0004372569,0.0005531527,0.2744531],"genre_scores_gemma":[0.9692411,0.002682038,0.01457631,0.00687104,0.0002048397,0.0003263537,0.0001124794,0.0001767684,0.005809037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5428013,"threshold_uncertainty_score":0.9197824,"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."}}