{"id":"W204418067","doi":"10.20982/tqmp.03.2.p028","title":"Statistical power: An historical introduction","year":2007,"lang":"en","type":"article","venue":"Tutorials in Quantitative Methods for Psychology","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Neglect; Statistical power; Power (physics); Statistical analysis; Subject (documents); Computer science; Power analysis; Data science; Risk analysis (engineering); Management science; Operations research; Psychology; Statistics; Engineering; Business; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007224218,0.000159509,0.0003853368,0.0003299031,0.000274215,0.00003371831,0.0002470809,0.00009724173,0.000704937],"category_scores_gemma":[0.001475306,0.000151546,0.00006357593,0.00009290212,0.0007643008,0.0003201896,0.00001510504,0.0002084519,0.00003442333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741363,"about_ca_system_score_gemma":0.00002997172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008792549,"about_ca_topic_score_gemma":0.0002353761,"domain_scores_codex":[0.9977739,0.000609721,0.0005533439,0.0005413244,0.0001324852,0.0003891836],"domain_scores_gemma":[0.9978111,0.001491973,0.0001637553,0.0002543709,0.000175448,0.000103299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005926543,0.0002347455,0.00001267163,0.000007887649,0.000009340702,0.000003515117,0.01325148,7.766823e-7,0.006664154,0.9579977,0.00753036,0.01369469],"study_design_scores_gemma":[0.0004042423,0.001363911,0.0002012005,0.000002252326,0.000008997624,0.000002978419,0.0005518947,0.00001084494,0.0001223604,0.3214655,0.6757156,0.0001501457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00664071,0.0004400738,0.9128293,0.00210904,0.04276695,0.0004227252,0.00003700031,0.0000931515,0.03466107],"genre_scores_gemma":[0.04384523,0.0000113635,0.9468675,0.0006409982,0.007311926,0.00006135435,0.00002587962,0.0000337282,0.001201988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6681853,"threshold_uncertainty_score":0.7718565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2380863123615847,"score_gpt":0.5078418828155549,"score_spread":0.2697555704539702,"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."}}