{"id":"W2624326810","doi":"10.11575/prism/10635","title":"Communities of Practice and Learning: Are large-scale deployments feasible?","year":2001,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Data science; Geography; Cartography","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":[0.04008364,0.0003716683,0.0006903076,0.001287419,0.004230075,0.007817105,0.00163123,0.004107132,0.02304252],"category_scores_gemma":[0.1368017,0.0006110446,0.0003865193,0.003096528,0.005768281,0.01516333,0.009218847,0.003028846,0.002922499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003248339,"about_ca_system_score_gemma":0.01387268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008734668,"about_ca_topic_score_gemma":0.0248553,"domain_scores_codex":[0.9668972,0.02550986,0.0005495651,0.001465437,0.003788846,0.001789124],"domain_scores_gemma":[0.8083571,0.1353882,0.00864025,0.01071408,0.01224026,0.02466003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005760143,0.001033656,0.03049586,0.0007282795,0.00006565548,0.0003050294,0.02573197,0.0006263531,0.0004077126,0.03559396,0.06565585,0.8387797],"study_design_scores_gemma":[0.0009948066,0.003888183,0.1293216,0.004244358,0.0001771891,0.0006413128,0.2446853,0.00715805,0.0009293258,0.1464718,0.4612523,0.0002356971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2622713,0.007779871,0.03894361,0.5171384,0.001696756,0.00283514,0.0005607377,0.000703304,0.168071],"genre_scores_gemma":[0.9486756,0.004257235,0.0282262,0.00606439,0.0004660357,0.00166761,0.0002727844,0.00009314511,0.01027693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04008364,"threshold_uncertainty_score":0.2119851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737822690321792,"score_gpt":0.2221424632168338,"score_spread":0.2047642363136158,"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."}}