{"id":"W1976405769","doi":"10.12927/hcq.2010.21815","title":"An Integrated, Population-Based Framework for Knowledge Management for Cancer Control","year":2010,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Best practice; Knowledge management; Process management; Process (computing); Business; Control (management); Service (business); Health care; Quality (philosophy); Medicine; Risk analysis (engineering); Management science; Computer science; Engineering; Political science; Marketing","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":[0.04301945,0.001340704,0.001327845,0.01061017,0.004440489,0.01259965,0.006694382,0.004581509,0.005339603],"category_scores_gemma":[0.02617927,0.0007309017,0.002085959,0.008593148,0.01300596,0.009076786,0.007756649,0.004136464,0.0006275459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03147541,"about_ca_system_score_gemma":0.04671476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07267601,"about_ca_topic_score_gemma":0.05639793,"domain_scores_codex":[0.9645921,0.02487928,0.002184372,0.002680592,0.004128285,0.001535358],"domain_scores_gemma":[0.9850723,0.008334459,0.00128542,0.001074292,0.002978858,0.001254675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007435156,0.00006857041,0.001250805,0.0001332903,0.00004757495,0.000131858,0.001811387,0.01066361,0.00006828966,0.9678228,0.002304169,0.01569024],"study_design_scores_gemma":[0.00005751612,0.00006179183,0.001003456,0.0003824294,0.00005988937,0.0001360436,0.002579873,0.02706799,0.0001151349,0.9239458,0.04454481,0.00004530121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006739285,0.001850189,0.8718424,0.06341754,0.0002530899,0.001844729,0.0007422478,0.000215422,0.05309505],"genre_scores_gemma":[0.2518627,0.002150805,0.7350034,0.001977193,0.0002793133,0.003327194,0.0008122732,0.00004088054,0.004546224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07267601,"threshold_uncertainty_score":0.2283711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860482626859543,"score_gpt":0.3144213959084587,"score_spread":0.2858165696398632,"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."}}