{"id":"W6958024454","doi":"10.6084/m9.figshare.20115870","title":"Additional file 1 of Investigating the influence of institutions, politics, organizations, and governance on the COVID-19 response in British Columbia, Canada: a jurisdictional case study protocol","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Protocol (science); Corporate governance; Data collection; Information governance; Protocol analysis; Transparency (behavior)","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":[0.006987641,0.0006904865,0.001075974,0.004172746,0.004451075,0.002130277,0.00212836,0.001132531,0.6552004],"category_scores_gemma":[0.06491083,0.0008081698,0.0006802412,0.007352355,0.0008212865,0.001569638,0.001553379,0.001550045,0.04568829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130645,"about_ca_system_score_gemma":0.0346652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5491991,"about_ca_topic_score_gemma":0.7168748,"domain_scores_codex":[0.996723,0.001049223,0.0005049433,0.0003451466,0.0008637923,0.0005138041],"domain_scores_gemma":[0.9496565,0.0272069,0.003292002,0.003207608,0.01507649,0.001560619],"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":[0.0002102027,0.0001073109,0.003475453,0.001405847,0.00002111957,0.00004425253,0.0009135972,0.0002099927,0.0000324695,0.001688731,0.9825358,0.009355308],"study_design_scores_gemma":[0.005173079,0.0003216903,0.09880798,0.01015796,0.0002576523,0.000285403,0.01095155,0.00162701,0.0006791744,0.009818067,0.8616474,0.000273072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001234799,0.00003696022,0.0005949029,0.0004401939,0.00005195651,0.004585898,0.984954,0.0001056588,0.007995592],"genre_scores_gemma":[0.04482522,0.0006371305,0.01639779,0.002062866,0.000156052,0.1987934,0.6595504,0.0005623843,0.0770148],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6552004,"threshold_uncertainty_score":0.9069115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426884636078214,"score_gpt":0.3897639933511448,"score_spread":0.2470755297433234,"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."}}