{"id":"W6920761502","doi":"10.6084/m9.figshare.22043429","title":"Too Little, Too Late: How we fail vulnerable Canadians as they die and what to do about it","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Vulnerability (computing); Agency (philosophy); State (computer science)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001289927,0.0007940476,0.0007094949,0.000629038,0.0002113641,0.002285145,0.0007732011,0.0007627159,0.3968625],"category_scores_gemma":[0.001668176,0.0007864102,0.0001495692,0.0004688029,0.00001631583,0.0005944756,0.0003580018,0.0007188036,0.2357114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004173352,"about_ca_system_score_gemma":0.0004791433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02884465,"about_ca_topic_score_gemma":0.4755194,"domain_scores_codex":[0.9968182,0.0001331206,0.0002360726,0.001106431,0.0005977526,0.001108368],"domain_scores_gemma":[0.9975141,0.0001818202,0.0002359961,0.001124524,0.0001349189,0.0008086199],"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":[0.000008474469,0.00000952662,0.000002960626,0.0004360096,0.0001427406,0.000390235,0.001300596,0.00001165323,0.000005807742,0.000009599775,0.9920346,0.005647804],"study_design_scores_gemma":[0.0002930089,0.00004965897,0.0001107786,0.01924103,0.00003849469,0.00001109097,0.0007170252,0.00000670193,0.00001813394,0.0000305325,0.9785303,0.0009532134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000006744473,0.01941624,2.444702e-8,0.00311903,0.0002903413,0.001053507,0.6815984,0.0009961268,0.2935196],"genre_scores_gemma":[0.0001436806,0.0008733877,0.00001631523,0.00130571,0.000716406,0.0007353831,0.08556462,0.004070564,0.906574],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6130544,"threshold_uncertainty_score":0.9994587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446454727363041,"score_gpt":0.2705688006778568,"score_spread":0.2361042534042264,"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."}}