{"id":"W2072362299","doi":"10.1016/j.physio.2006.06.003","title":"An under-used yet easily understood statistic: the number needed to treat (NNT)","year":2006,"lang":"en","type":"article","venue":"Physiotherapy","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia; University of Sydney","keywords":"Number needed to treat; Statistic; Medicine; Number needed to harm; Confidence interval; Harm; Psychological intervention; Statistics; Physical therapy; Computer science; Relative risk; Mathematics; Psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01160859,0.0003578403,0.001781492,0.000133726,0.0002871562,0.00126311,0.001811172,0.00005840942,0.01293491],"category_scores_gemma":[0.0005955202,0.0001492167,0.000829415,0.001368189,0.00007500419,0.0002458502,0.00003176193,0.00009673682,0.006699605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006025687,"about_ca_system_score_gemma":0.00006218551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170349,"about_ca_topic_score_gemma":0.0005371164,"domain_scores_codex":[0.9883035,0.004183389,0.002972362,0.0008719933,0.003320646,0.0003480836],"domain_scores_gemma":[0.9918873,0.00261999,0.001175354,0.003772722,0.0003729687,0.0001716831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007532426,0.0006897303,0.00833841,0.0000316384,0.0002957085,0.000005671424,0.002835475,0.004305351,0.03301532,0.07404632,0.8513615,0.02499951],"study_design_scores_gemma":[0.00261078,0.000440532,0.1408269,0.00006603969,0.000395903,0.00001942286,0.01029617,0.01134555,0.003078255,0.5982042,0.2312203,0.001495969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8020527,0.0002298472,0.1724343,0.006633731,0.0003081405,0.001335851,0.00006209996,0.00003556575,0.01690774],"genre_scores_gemma":[0.9763248,0.000008316216,0.003715573,0.004266876,0.0002294498,0.00005795142,0.00001483633,0.00003555606,0.01534665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6201413,"threshold_uncertainty_score":0.9997737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5745742624313719,"score_gpt":0.5594687551795474,"score_spread":0.01510550725182447,"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."}}