{"id":"W2144528553","doi":"10.1177/0272989x11426176","title":"Test Result–Based Sampling","year":2011,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sample size determination; Sampling (signal processing); Statistics; Ranging; Sampling design; Simple random sample; Sample (material); Computer science; Population; Mathematics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002296519,0.0001342905,0.000229381,0.0001652971,0.0006258481,0.000001068071,0.0004152762,0.0003546269,0.01344532],"category_scores_gemma":[0.02600811,0.0001040633,0.00007133876,0.000345956,0.0001067754,0.00007933193,0.0001475837,0.0008457825,0.00189572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008266661,"about_ca_system_score_gemma":0.000493638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001996808,"about_ca_topic_score_gemma":0.00003730331,"domain_scores_codex":[0.9969196,0.0002319347,0.0008414254,0.0003282603,0.001183819,0.0004949011],"domain_scores_gemma":[0.9934557,0.005226571,0.00030644,0.000441684,0.0001486007,0.0004209861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009035865,0.0008869328,0.3201658,0.0002541854,0.00003061567,0.0001702491,0.008484338,0.00005075612,0.0001700168,0.007806882,0.04155228,0.6195244],"study_design_scores_gemma":[0.004315248,0.0002878169,0.4995573,0.0076861,0.00004256331,0.000007305193,0.001409599,0.01207353,0.00005632208,0.01367581,0.460356,0.00053232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04285598,0.00007054667,0.8885177,0.002048527,0.002532146,0.0004815899,0.00001401181,0.0002894716,0.06319003],"genre_scores_gemma":[0.9579321,0.00001568417,0.03300075,0.008357662,0.0002932192,0.00006141473,0.00001332564,0.0000228334,0.0003030382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9150761,"threshold_uncertainty_score":0.9988814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2973182593296005,"score_gpt":0.5081463113278938,"score_spread":0.2108280519982932,"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."}}