{"id":"W7071540965","doi":"","title":"The Toronto Fallout Report","year":2020,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Pandemic; Social justice; Social life; Point (geometry); Social equality; Realisation; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002548607,0.001104661,0.001518853,0.00006669907,0.0005785381,0.0004903275,0.001563241,0.0008915897,0.003043261],"category_scores_gemma":[0.002806358,0.0008075479,0.0006203955,0.0003895583,0.0002947883,0.000241407,0.0006505728,0.001210193,0.01493499],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003925125,"about_ca_system_score_gemma":0.004220762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04738227,"about_ca_topic_score_gemma":0.09025075,"domain_scores_codex":[0.991254,0.0002685684,0.001766647,0.001633639,0.003845483,0.001231635],"domain_scores_gemma":[0.9929928,0.0002677533,0.001868533,0.003212283,0.001065386,0.000593282],"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":[0.00008256645,0.0000501999,0.00134295,0.0001707731,0.000632129,0.00441304,0.0006100294,0.000001744119,0.0001421931,0.00009833625,0.9879545,0.004501529],"study_design_scores_gemma":[0.0003763214,0.00009840065,0.001213757,0.000228803,0.0004757723,0.001749718,0.0003166332,0.00001176786,0.0001256878,0.0001087607,0.9943314,0.0009629667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002129541,0.03530774,0.00001006933,0.001944138,0.006851819,0.001406102,0.0007797607,0.001246412,0.952241],"genre_scores_gemma":[0.03016326,0.01283901,0.0002489208,0.0003657649,0.01818571,0.0005530312,0.002377013,0.001823923,0.9334434],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04286848,"threshold_uncertainty_score":0.9998986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235631593069579,"score_gpt":0.3269507591504274,"score_spread":0.2945944432197316,"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."}}