{"id":"W2060343609","doi":"10.1198/000313007x188414","title":"Early Evidence-Based Medicine","year":2007,"lang":"en","type":"article","venue":"The American Statistician","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representativeness heuristic; Medical statistics; Statistician; Sample size determination; Population; Randomization; Sample (material); Statistics; History; Randomized controlled trial; Medicine; Demography; Mathematics; Sociology; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02697557,0.001542397,0.002898533,0.006673574,0.001540152,0.007062966,0.002628132,0.007091125,0.007133114],"category_scores_gemma":[0.07696869,0.0009589841,0.001141808,0.004636975,0.01200049,0.006944062,0.004312458,0.00980777,0.003340326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01032104,"about_ca_system_score_gemma":0.008818499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465168,"about_ca_topic_score_gemma":0.003179287,"domain_scores_codex":[0.9812462,0.008918079,0.002312569,0.001545993,0.005490322,0.0004869152],"domain_scores_gemma":[0.9415477,0.04201198,0.00164386,0.003286528,0.01038235,0.001127556],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002590228,0.00009352428,0.0005239089,0.008025631,0.0002376745,0.0003889927,0.0008882657,0.000965966,0.0004228856,0.713293,0.04267012,0.2322311],"study_design_scores_gemma":[0.00009599767,0.0001671656,0.0008701269,0.01166364,0.0001491078,0.0006742486,0.0002372873,0.0004400007,0.0008171413,0.3627838,0.6220306,0.00007082753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001745312,0.7302177,0.07399338,0.09739239,0.01334864,0.0003870362,0.0006879961,0.0001655487,0.08206196],"genre_scores_gemma":[0.1211674,0.684617,0.08911759,0.06044384,0.02407471,0.001365643,0.0006552074,0.0002081612,0.01835041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9730244,"threshold_uncertainty_score":0.1426622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140236339624821,"score_gpt":0.4641380792322393,"score_spread":0.2501144452697572,"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."}}