{"id":"W6976789887","doi":"10.6084/m9.figshare.23304997.v1","title":"Additional file 1 of Socioeconomic disparities and concentration of the spread of the COVID-19 pandemic in the province of Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Online Learning Methods and Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Socioeconomic status; Pandemic; Cumulative incidence; Population; Table (database); Incidence (geometry)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001615166,0.00002931493,0.00007243575,0.0000106945,0.0001049458,0.000005142985,0.0001843198,0.00003000159,0.2211848],"category_scores_gemma":[0.005272823,0.00001771546,0.00002371408,0.000178793,0.0001121662,0.00004447736,0.00003344764,0.00007224148,0.000001035563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000520767,"about_ca_system_score_gemma":0.002592267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1990718,"about_ca_topic_score_gemma":0.8687444,"domain_scores_codex":[0.9993724,0.0002134179,0.000159865,0.00005098802,0.0001409287,0.00006238039],"domain_scores_gemma":[0.9972466,0.00235861,0.0002404991,0.00008172961,0.00006310032,0.000009484219],"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":[9.737226e-7,0.000004722955,0.003396365,0.00005217068,0.000002784257,5.223687e-8,0.0008519524,0.0000509742,0.00001002835,0.0007670592,0.9946254,0.0002375161],"study_design_scores_gemma":[0.00007727555,0.000006857676,0.3103065,0.000341972,0.000003106785,2.046322e-7,0.003518726,0.0001110022,0.00004578358,0.0006519452,0.6848963,0.00004038152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0172956,0.00001545001,1.634453e-7,0.002870768,0.00001924396,0.0001749657,0.9788122,0.000003326289,0.0008082728],"genre_scores_gemma":[0.8749772,0.000008350618,0.00008151978,0.0007957501,0.00008475877,0.000182019,0.1214938,0.000006384826,0.002370207],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8576816,"threshold_uncertainty_score":0.8062616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05288618847318952,"score_gpt":0.3259928032612722,"score_spread":0.2731066147880827,"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."}}