{"id":"W4210653238","doi":"10.31235/osf.io/at368","title":"Adjusted Bayesian Completion Rates (ABC) Estimation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Statistics; Bayesian probability; Econometrics; Variance (accounting); Estimation; Autoregressive integrated moving average; Sampling (signal processing); Demography; Computer science; Mathematics; Time series; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02273159,0.001427335,0.002465628,0.003126025,0.0007813255,0.002499282,0.004116522,0.002126354,0.01245889],"category_scores_gemma":[0.1012493,0.001169536,0.002685687,0.003914506,0.001404621,0.003011318,0.00206172,0.00385324,0.004186848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901412,"about_ca_system_score_gemma":0.003290056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03330422,"about_ca_topic_score_gemma":0.02140423,"domain_scores_codex":[0.9885855,0.007427086,0.0004973733,0.00198172,0.001052757,0.0004556],"domain_scores_gemma":[0.9549183,0.03100961,0.003814843,0.005063683,0.004658065,0.0005355147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004539221,0.0002798506,0.05352664,0.0006267172,0.001000728,0.0001842583,0.0007980299,0.4189795,0.000470768,0.1842234,0.03174477,0.3077115],"study_design_scores_gemma":[0.0001238992,0.000137187,0.01185988,0.0003035112,0.0002059415,0.0001931693,0.00019745,0.8074268,0.0004218591,0.1581754,0.02085652,0.00009833577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02191461,0.0009061202,0.9672936,0.0007336599,0.0001318263,0.0006459696,0.003258786,0.0009066543,0.004208819],"genre_scores_gemma":[0.4189294,0.002188016,0.5448012,0.0007324876,0.0004209917,0.002615213,0.01480713,0.0006122195,0.01489336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03330422,"threshold_uncertainty_score":0.1202176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03519758329561608,"score_gpt":0.3073918744980976,"score_spread":0.2721942912024816,"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."}}