{"id":"W7000547488","doi":"","title":"The FORGE AHEAD clinical readiness consultation tool: a validated tool to assess clinical readiness for chronic disease care mobilization in Canada’s First Nations","year":2017,"lang":"en","type":"article","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Intervention (counseling); Consistency (knowledge bases); Chronic care; Identification (biology); Internal consistency; Quality (philosophy); Citizen journalism; Test (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.004183009,0.000281799,0.0006504318,0.0005718783,0.004036813,0.00007104471,0.001676522,0.0004556158,0.00002576497],"category_scores_gemma":[0.08477655,0.0002420517,0.0001100496,0.001228195,0.0007883116,0.0008358227,0.0003966209,0.0007201838,0.0000345656],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709884,"about_ca_system_score_gemma":0.02172319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07836925,"about_ca_topic_score_gemma":0.9542657,"domain_scores_codex":[0.9941334,0.000362178,0.003212366,0.0007882694,0.0005341248,0.0009696293],"domain_scores_gemma":[0.9897399,0.004327334,0.001712267,0.001790633,0.002104523,0.0003253666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005410307,0.0001961117,0.8110811,0.001440086,0.00007725722,0.00002330486,0.001050315,0.0006680701,0.00009310366,0.1101844,0.0400435,0.03460173],"study_design_scores_gemma":[0.005540484,0.0002313986,0.3151666,0.0008188774,0.00006914441,0.000001815876,0.002701214,0.002641118,0.0001420817,0.001179302,0.6710494,0.0004585905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081391,0.00005229761,0.005157525,0.07359201,0.005372843,0.006285517,0.000909025,0.0001664093,0.0003253465],"genre_scores_gemma":[0.9919531,0.0002431316,0.002705975,0.00134036,0.0003560675,0.002894399,0.0002091805,0.00003697712,0.0002608171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758965,"threshold_uncertainty_score":0.9972598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4363427168664052,"score_gpt":0.6159956835368943,"score_spread":0.1796529666704891,"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."}}