{"id":"W2527248690","doi":"10.1016/j.jcjd.2016.08.032","title":"Assessing Clinical Readiness for Chronic Disease Management in Canada's First Nations: Baseline Data from the FORGE AHEAD Clinical Readiness Consultation Tool","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Sustainability; Baseline (sea); Indigenous; Quality management; Matching (statistics); Health care; Nursing; Economic growth; Operations management; Management system; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004718846,0.0007437302,0.001003413,0.002547256,0.004561149,0.002407918,0.002373752,0.001334588,0.00268081],"category_scores_gemma":[0.01564126,0.0005873753,0.001605849,0.004105008,0.0008110254,0.0013533,0.004033057,0.003693495,0.0006645439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04027433,"about_ca_system_score_gemma":0.1013278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703967,"about_ca_topic_score_gemma":0.9880776,"domain_scores_codex":[0.9951197,0.0006485585,0.0003816901,0.0002839309,0.001982943,0.001583174],"domain_scores_gemma":[0.982941,0.001720036,0.001895307,0.0004042282,0.007236659,0.005802841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001850256,0.0008577075,0.9464903,0.0001556352,0.0001424547,0.00006783032,0.002267111,0.0005053749,0.00007667469,0.0002992095,0.02315795,0.0257947],"study_design_scores_gemma":[0.00002501183,0.0000809932,0.9945562,0.00008746368,0.00003244061,0.0000127082,0.001598543,0.0003640493,0.00006305121,0.0000573736,0.003092045,0.00003021304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339964,0.000977118,0.0006640351,0.005034886,0.0001502662,0.002047347,0.04274611,0.0001272996,0.01425647],"genre_scores_gemma":[0.9684031,0.0008089669,0.003118252,0.001303486,0.00003582305,0.001501281,0.02108604,0.00004171405,0.003701329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04027433,"threshold_uncertainty_score":0.292212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5340372071377607,"score_gpt":0.6117289001887116,"score_spread":0.07769169305095092,"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."}}