{"id":"W1789442286","doi":"10.1111/j.1365-2044.2012.07133.x","title":"Lies, damn lies, and statistics*","year":2012,"lang":"en","type":"letter","venue":"Anaesthesia","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Institution; Library science; Sociology; Social science; Computer science","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.07295558,0.001121825,0.002264844,0.007045201,0.003346713,0.009911246,0.001816903,0.006707688,0.008381277],"category_scores_gemma":[0.433162,0.0009785239,0.001045209,0.006526295,0.01184429,0.01076899,0.00329462,0.02012222,0.003572311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005479404,"about_ca_system_score_gemma":0.01033362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005779915,"about_ca_topic_score_gemma":0.006382158,"domain_scores_codex":[0.9293616,0.04342304,0.004773834,0.005021592,0.016118,0.001301958],"domain_scores_gemma":[0.4984461,0.4384468,0.01090121,0.008221121,0.03673232,0.007252506],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001195325,0.00002431693,0.001920802,0.0006459095,0.0001046886,0.0001017515,0.001007939,0.0002455672,0.00003942456,0.0844302,0.8475755,0.0637843],"study_design_scores_gemma":[0.00006569291,0.00009205768,0.001901462,0.005146785,0.00005835375,0.0004766055,0.001021621,0.001327013,0.0001649766,0.2138457,0.7757419,0.0001577948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000298038,0.06235256,0.003509622,0.8883995,0.04141442,0.00001961559,0.000173798,0.0000794352,0.003753046],"genre_scores_gemma":[0.04029224,0.1845202,0.01292863,0.5635524,0.1846817,0.0003869751,0.0003778314,0.0007619779,0.01249792],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9932923,"threshold_uncertainty_score":0.3858306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2988605747886711,"score_gpt":0.4882468348390312,"score_spread":0.1893862600503601,"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."}}