{"id":"W6958695754","doi":"10.6084/m9.figshare.6983414.v1","title":"Additional file 1: of Reassessing access to intensive care using an estimate of the population incidence of critical illness","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Architectural and Urban Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intensive care; Critical illness; Intensive care unit; Incidence (geometry); Population; Life table","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000007050099,0.00006199112,0.0001190746,0.00003306783,0.0002331693,0.00002223186,0.0001476535,0.00001582698,0.7731561],"category_scores_gemma":[0.001904408,0.00004111221,0.0000388912,0.00004397688,0.0001017257,0.000209456,0.0001948232,0.00003718701,0.00001167191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001195636,"about_ca_system_score_gemma":0.00002875601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431275,"about_ca_topic_score_gemma":0.0005931004,"domain_scores_codex":[0.9995266,0.00002217316,0.000148302,0.0000886971,0.0001368349,0.00007738393],"domain_scores_gemma":[0.9979687,0.0002723515,0.0001096223,0.0001002041,0.001529407,0.00001966522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001639646,0.00001401813,0.00007924299,0.0003481705,0.000009920722,6.353011e-7,0.01913557,0.00002631763,0.00002152583,0.0002849641,0.9773496,0.002713611],"study_design_scores_gemma":[0.000354999,0.0007797037,0.4554571,0.055802,0.0001428613,0.00002734217,0.08867859,0.003875019,0.006952469,0.00424736,0.3824942,0.001188357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02593704,0.00001758367,5.765029e-7,0.00004898321,0.00005563022,0.0000738547,0.9728016,0.000008043075,0.001056727],"genre_scores_gemma":[0.9137148,2.127408e-8,0.000171831,0.00008247071,0.0002727728,0.00002679668,0.0856929,0.000005702985,0.00003269521],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8877777,"threshold_uncertainty_score":0.2279892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354642359176837,"score_gpt":0.3513675226520361,"score_spread":0.2159032867343524,"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."}}