{"id":"W7136035547","doi":"10.6084/m9.figshare.4785316.v1","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":"","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":[0.001704263,0.0006169986,0.000933481,0.002377531,0.001908604,0.00156332,0.001451624,0.000963545,0.8662289],"category_scores_gemma":[0.03286779,0.0005769657,0.0006824489,0.003928848,0.000338841,0.002263648,0.001092009,0.0009536371,0.1329303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003354078,"about_ca_system_score_gemma":0.006168921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1347183,"about_ca_topic_score_gemma":0.1986828,"domain_scores_codex":[0.9992958,0.0001397415,0.0001193732,0.00009403391,0.0001958751,0.0001551892],"domain_scores_gemma":[0.9754956,0.01620703,0.001435305,0.0008378102,0.00505449,0.0009697127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001256733,0.0000687499,0.002519749,0.0008916086,0.000008033888,0.00003305893,0.00009735418,0.0001078469,0.00001035598,0.000301455,0.9870913,0.008744864],"study_design_scores_gemma":[0.005747177,0.000313401,0.1547245,0.009796979,0.0001361361,0.0006739333,0.004083474,0.002315396,0.0006035341,0.007768541,0.8135413,0.0002957209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006133882,0.00002262236,0.000183843,0.0003989025,0.00003510432,0.0004352657,0.9934911,0.0001524033,0.004667338],"genre_scores_gemma":[0.04696006,0.0004438015,0.006903885,0.002293934,0.0002567042,0.01402995,0.868029,0.0009320129,0.06015066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8662289,"threshold_uncertainty_score":0.2678682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2446674485941754,"score_gpt":0.4942694307583598,"score_spread":0.2496019821641845,"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."}}