{"id":"W2124547615","doi":"10.1136/bmj.e5278","title":"Sample size calculations: should the emperor's clothes be off the peg or made to measure?","year":2012,"lang":"en","type":"article","venue":"BMJ","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Emperor; Measure (data warehouse); Clothing; Sample size determination; Sample (material); Statistics; Econometrics; Psychology; Computer science; Mathematics; History; Data mining; Archaeology; Physics; Thermodynamics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3603708,0.002494696,0.004530969,0.005466933,0.002192774,0.007177619,0.007139364,0.01577776,0.008515058],"category_scores_gemma":[0.8095625,0.001662639,0.003281289,0.004629347,0.016102,0.01592328,0.003833631,0.02842578,0.007925473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004445454,"about_ca_system_score_gemma":0.009122119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394408,"about_ca_topic_score_gemma":0.003524964,"domain_scores_codex":[0.6493154,0.2824768,0.02651202,0.004994999,0.03517388,0.001527023],"domain_scores_gemma":[0.2612217,0.6070051,0.03319732,0.03226612,0.06072637,0.005583391],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001105976,0.0001344903,0.001312322,0.002989077,0.0006090194,0.0001335779,0.0009761232,0.0005023945,0.0004558461,0.05313119,0.736102,0.202548],"study_design_scores_gemma":[0.002433343,0.00104969,0.006213714,0.02215902,0.0006972745,0.001035813,0.001883922,0.00541628,0.002135531,0.3652348,0.5910935,0.0006471052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008149309,0.0160102,0.05023288,0.8803728,0.0476001,0.0005663176,0.0002761223,0.0004420482,0.003684629],"genre_scores_gemma":[0.02747838,0.01624912,0.2222434,0.664045,0.05907006,0.004688109,0.0003538217,0.0009954097,0.00487681],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6396292,"threshold_uncertainty_score":0.7887766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8549429062449583,"score_gpt":0.5627533083106878,"score_spread":0.2921895979342705,"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."}}