{"id":"W4251376346","doi":"10.1016/s0887-6177(00)00076-7","title":"Statistics to tell the truth, the whole truth, and nothing but the truth Formulae, illustrative numerical examples, and heuristic interpretation of effect size analyses for neuropsychological researchers","year":2001,"lang":"en","type":"article","venue":"Archives of Clinical Neuropsychology","topic":"Mental Health Research Topics","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nothing; Interpretation (philosophy); Neuropsychology; Context (archaeology); Argument (complex analysis); Heuristic; Measure (data warehouse); Psychology; Epistemology; Cognitive psychology; Statistics; Computer science; Mathematics; Cognition; Philosophy; Data mining","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":[],"category_scores_codex":[0.08711658,0.00256928,0.00188029,0.005741442,0.001856062,0.004988644,0.004285303,0.005282559,0.009036107],"category_scores_gemma":[0.4526553,0.001094979,0.00153681,0.006071508,0.01703244,0.01004462,0.004178435,0.01319608,0.003187923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009818,"about_ca_system_score_gemma":0.00318502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009119028,"about_ca_topic_score_gemma":0.0009524835,"domain_scores_codex":[0.8819247,0.09418513,0.008804674,0.002809293,0.01161589,0.0006603313],"domain_scores_gemma":[0.6011387,0.3642187,0.009745511,0.01399016,0.01021366,0.0006932497],"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":[0.0001685958,0.0001010143,0.000920101,0.001542698,0.0001191121,0.0003028713,0.001667364,0.003426211,0.0008475357,0.8370888,0.08570014,0.0681157],"study_design_scores_gemma":[0.00006843422,0.0001115499,0.0004951119,0.0006378092,0.00003031767,0.0003001504,0.0003278743,0.005758589,0.0008251747,0.9385393,0.05285004,0.00005567007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001837854,0.004929911,0.9495021,0.02929394,0.003085356,0.0003819283,0.0004424408,0.001169709,0.009356768],"genre_scores_gemma":[0.03928118,0.003324179,0.933457,0.01485,0.002473485,0.003236175,0.0002917574,0.0007696,0.002316684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9128834,"threshold_uncertainty_score":0.460722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699381947126763,"score_gpt":0.5552856316650708,"score_spread":0.2853474369523945,"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."}}