{"id":"W6977034195","doi":"10.6084/m9.figshare.21151397.v1","title":"Additional file 1 of Developing and evaluating a SAFER model to screen for diabetes complications among people experiencing homelessness: a pilot study protocol","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Checklist; SAFER; Protocol (science); Data collection; Diabetes mellitus; Research design","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01396876,0.001136119,0.001733502,0.001139569,0.001794016,0.001654605,0.00166042,0.001410111,0.7237228],"category_scores_gemma":[0.08858741,0.0009585127,0.001699225,0.001647594,0.0005630332,0.001937067,0.000949555,0.002472327,0.05450491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070517,"about_ca_system_score_gemma":0.007238816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553233,"about_ca_topic_score_gemma":0.006267128,"domain_scores_codex":[0.9959288,0.002432769,0.0006954317,0.0003197834,0.0003853115,0.00023789],"domain_scores_gemma":[0.946851,0.03938696,0.003538612,0.002874491,0.006061082,0.001287991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01822349,0.001267846,0.001392374,0.02018142,0.0003318532,0.00008362355,0.0004653218,0.0007573403,0.0001659352,0.004140535,0.8991371,0.05385319],"study_design_scores_gemma":[0.3371033,0.0112206,0.02532132,0.03528162,0.001991222,0.000430485,0.001046643,0.00508267,0.001588039,0.03182273,0.5486905,0.000420796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.003308312,0.0004425366,0.009187249,0.002550351,0.001069659,0.2805392,0.6874374,0.001581264,0.01388404],"genre_scores_gemma":[0.01090855,0.0002822865,0.01513699,0.001295033,0.0001816585,0.9328694,0.02936604,0.0003267294,0.009633441],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7237228,"threshold_uncertainty_score":0.3940759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103331335575974,"score_gpt":0.3446914673392307,"score_spread":0.2413601317632568,"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."}}