{"id":"W1998278150","doi":"10.2466/03.49.pr0.112.3.835-844","title":"Alpha Values as a Function of Sample Size, Effect Size, and Power: Accuracy over Inference","year":2013,"lang":"en","type":"article","venue":"Psychological Reports","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sample size determination; Statistics; Power function; Psychology; Sample (material); Power (physics); Function (biology); Alpha (finance); Statistical power; Mathematics; Physics; Psychometrics; 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":[0.1911236,0.002786552,0.004112378,0.01306528,0.002163019,0.005355543,0.004154756,0.003782393,0.01270341],"category_scores_gemma":[0.5920608,0.002302863,0.002449122,0.01224477,0.005424342,0.006562542,0.003529774,0.009731113,0.004237867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002901763,"about_ca_system_score_gemma":0.00258827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404685,"about_ca_topic_score_gemma":0.001236749,"domain_scores_codex":[0.7634046,0.1495998,0.02478789,0.01096697,0.04972478,0.001515888],"domain_scores_gemma":[0.2751818,0.6331323,0.01688936,0.03392737,0.03981335,0.001055775],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003483751,0.0004861537,0.03552207,0.008037595,0.001880169,0.0007149146,0.01044853,0.005685863,0.006453079,0.07920968,0.1388754,0.7092028],"study_design_scores_gemma":[0.001749153,0.005483591,0.1597045,0.01358756,0.002562865,0.00637778,0.00916344,0.05041558,0.03735764,0.3535089,0.3587123,0.001376687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03728683,0.01592288,0.8805509,0.007118239,0.007856444,0.004390358,0.004083926,0.004773899,0.03801645],"genre_scores_gemma":[0.2251047,0.005264403,0.7366893,0.003061148,0.001389475,0.01875436,0.001311873,0.001927994,0.00649671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8088763,"threshold_uncertainty_score":0.9974886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928792336661622,"score_gpt":0.4401497856912751,"score_spread":0.3908618623246588,"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."}}