{"id":"W6904462960","doi":"10.1371/journal.pone.0283711.g002","title":"Residuals over time by acuity level.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Psychological intervention; Pandemic; Proxy (statistics); Population; Control (management); Estimation; Health policy; Public policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009705052,0.001719215,0.001255962,0.003021657,0.0005663926,0.002668995,0.00251826,0.001364834,0.07509962],"category_scores_gemma":[0.04282468,0.0007741517,0.004067454,0.005140586,0.001289758,0.002252958,0.002597361,0.004045933,0.03589639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704609,"about_ca_system_score_gemma":0.002984026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1401307,"about_ca_topic_score_gemma":0.05521907,"domain_scores_codex":[0.9932476,0.00200372,0.0005341003,0.002316451,0.001158714,0.0007393711],"domain_scores_gemma":[0.9818707,0.007502313,0.001998535,0.004152829,0.003805174,0.000670624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061427,0.0004767726,0.4762494,0.001029642,0.002270465,0.000472016,0.001654316,0.03676833,0.001321435,0.02453626,0.2033117,0.2508482],"study_design_scores_gemma":[0.0002255849,0.0006980203,0.6209036,0.0006799144,0.0007888536,0.0008909873,0.00332978,0.1234754,0.001848757,0.02498814,0.2218261,0.0003449114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3131058,0.004929241,0.2763099,0.008371024,0.007398447,0.002302536,0.3131762,0.02563356,0.04877323],"genre_scores_gemma":[0.7113346,0.00142134,0.04927426,0.001353872,0.0005107833,0.001539778,0.1415912,0.004101335,0.0888728],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1401307,"threshold_uncertainty_score":0.2786301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003710702198864,"score_gpt":0.323089978549042,"score_spread":0.2227189083291556,"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."}}