{"id":"W6983690215","doi":"","title":"Navigating AI-Driven Digital Transformation in Canadian Healthcare: The Case of CHUM’s AI School","year":2024,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital transformation; Context (archaeology); Health care; Resource (disambiguation); Margin (machine learning); Transformation (genetics); Digital health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003699787,0.000410781,0.0003516421,0.001579842,0.06299911,0.0112217,0.002415427,0.005966963,0.00785129],"category_scores_gemma":[0.009780689,0.0003958974,0.0005116279,0.003585524,0.01977006,0.003870683,0.006649124,0.00683124,0.0005600592],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.153838,"about_ca_system_score_gemma":0.1888008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9680683,"about_ca_topic_score_gemma":0.9888025,"domain_scores_codex":[0.9931176,0.002053186,0.0001096459,0.0004209062,0.001009903,0.003288828],"domain_scores_gemma":[0.9924896,0.001629321,0.0003532931,0.0001759804,0.001327329,0.004024528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00010394,0.0001883733,0.02535671,0.0001796588,0.00003019983,0.01388673,0.4674615,0.001679398,0.000633416,0.3866358,0.06413788,0.03970639],"study_design_scores_gemma":[0.000025888,0.00005385826,0.01240017,0.0003534713,0.00002661475,0.00139558,0.5751167,0.002284124,0.0003849159,0.02141654,0.3864126,0.000129595],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4582145,0.002936258,0.003420722,0.2591867,0.0005663983,0.0002227166,0.0002025885,0.00008840151,0.2751617],"genre_scores_gemma":[0.9699975,0.001023026,0.001760298,0.008072141,0.00004694574,0.00003004069,0.00004431494,0.00003811061,0.01898774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.846162,"threshold_uncertainty_score":0.9814279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626191942449547,"score_gpt":0.3937935607776582,"score_spread":0.3475316413531627,"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."}}