{"id":"W6977395487","doi":"10.6084/m9.figshare.12144336","title":"Additional file 1 of Addressing quadruple aims through primary care and public health collaboration: ten Canadian case studies","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; Dalhousie University; Centre Hospitalier de l’Université de Montréal; University of Victoria; McMaster University; Queen's University; University of British Columbia","funders":"","keywords":"Primary care; Focus group; Focus (optics); Front line; Public health; Public access; Primary health care","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004647349,0.0008995163,0.001119209,0.006464464,0.004077989,0.002950002,0.002887472,0.001173319,0.7857696],"category_scores_gemma":[0.05626832,0.0007341324,0.0009303866,0.01589379,0.00056628,0.001869634,0.001573213,0.001125452,0.07022104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.015875,"about_ca_system_score_gemma":0.04155107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7875895,"about_ca_topic_score_gemma":0.8768957,"domain_scores_codex":[0.9977112,0.0004326752,0.0003089437,0.0002561756,0.0007463284,0.0005445876],"domain_scores_gemma":[0.9360914,0.03502875,0.002622479,0.00221566,0.02111409,0.002927571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000783239,0.00003379159,0.001901365,0.001538749,0.00001424747,0.00003641664,0.0003246024,0.0001152868,0.00001379137,0.0007273991,0.9884759,0.006740035],"study_design_scores_gemma":[0.001987772,0.00009923378,0.06266255,0.006197084,0.0001474895,0.0001783769,0.005230817,0.0005970098,0.0001737071,0.002949115,0.9196289,0.0001479228],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003544283,0.00004628901,0.0001305393,0.0003070878,0.00002866521,0.0004712477,0.9932093,0.00008231873,0.005370049],"genre_scores_gemma":[0.0201169,0.0007860748,0.005488812,0.001238215,0.000113556,0.01730652,0.9019969,0.0004860803,0.05246695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7857696,"threshold_uncertainty_score":0.4273229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1747445059185265,"score_gpt":0.316403365662636,"score_spread":0.1416588597441095,"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."}}