{"id":"W6921374685","doi":"10.6084/m9.figshare.c.3725173_d2","title":"Additional file 2: of The FORGE AHEAD clinical readiness consultation tool: a validated tool to assess clinical readiness for chronic disease care mobilization in Canadaâ s First Nations","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forge; Chronic disease; Health care; eHealth; Chronic care; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001692532,0.0006128837,0.0009091967,0.002416469,0.001893279,0.001526261,0.001437155,0.000955899,0.8609422],"category_scores_gemma":[0.03248975,0.000564935,0.0006699453,0.003965077,0.0003363313,0.002208824,0.00109446,0.0009462553,0.1291243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310811,"about_ca_system_score_gemma":0.006059081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1343074,"about_ca_topic_score_gemma":0.1967919,"domain_scores_codex":[0.9992853,0.0001429331,0.0001230256,0.00009407651,0.000196379,0.0001581989],"domain_scores_gemma":[0.9758473,0.01594735,0.001451686,0.0008265728,0.004966858,0.0009602985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001251827,0.00007159205,0.002721911,0.0008772952,0.000008017597,0.00003439725,0.0001016551,0.000110062,0.00001048204,0.0003052452,0.986689,0.008945186],"study_design_scores_gemma":[0.005645167,0.0003162105,0.1620496,0.009572643,0.0001348625,0.0006813509,0.004229345,0.002336227,0.0006117255,0.007772342,0.8063562,0.000294407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006376262,0.00002177603,0.000187331,0.0003965861,0.00003427761,0.0004277949,0.9934956,0.000150245,0.00464879],"genre_scores_gemma":[0.04823944,0.0004355413,0.006877935,0.002216232,0.0002479056,0.01384861,0.8680748,0.00090341,0.05915606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8656926,"threshold_uncertainty_score":0.2670513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2301518165232113,"score_gpt":0.5078678139412739,"score_spread":0.2777159974180625,"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."}}