{"id":"W6945316941","doi":"10.25384/sage.21614346","title":"sj-docx-1-jhp-10.1177_00221678221124654 – Supplemental material for The CoVivre Program: Community Development and Empowerment to Address the Inequalities Exacerbated by the COVID-19 Pandemic in the Greater Montreal Area, Canada","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University Health Centre","funders":"","keywords":"Pandemic; Empowerment; Inequality; Community development; Humanism; Coronavirus disease 2019 (COVID-19); Community organizing; Government (linguistics)","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":[0.002418091,0.001343796,0.001435986,0.003775311,0.004036712,0.00622704,0.003859444,0.002123397,0.9389247],"category_scores_gemma":[0.03130452,0.001381667,0.0008577413,0.008000565,0.001056081,0.003490008,0.003199848,0.002328492,0.7083986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009107456,"about_ca_system_score_gemma":0.02291238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4489986,"about_ca_topic_score_gemma":0.5925953,"domain_scores_codex":[0.9980358,0.0001588851,0.0001220064,0.0001952803,0.001068619,0.0004193776],"domain_scores_gemma":[0.97253,0.005785337,0.0008630043,0.001185226,0.01458323,0.005053253],"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":[0.00001042975,0.00001309102,0.00008602457,0.00007885556,0.000001060292,0.000003508191,0.00001984622,0.00001599634,0.00001121169,0.00007913717,0.9972282,0.002452575],"study_design_scores_gemma":[0.0003814261,0.00003242791,0.005118164,0.0005369747,0.00001376106,0.00002747655,0.0004837801,0.0001994406,0.0002548207,0.001119048,0.9917701,0.00006248343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001985394,0.0001041754,0.0005262258,0.002839746,0.001099174,0.000663741,0.9191037,0.004574378,0.07089027],"genre_scores_gemma":[0.005639042,0.0007501654,0.00432555,0.003557837,0.0009877576,0.002878407,0.6471646,0.009145459,0.3255512],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9389247,"threshold_uncertainty_score":0.8927702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2282878678468988,"score_gpt":0.4015489133268451,"score_spread":0.1732610454799463,"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."}}