{"id":"W2796525775","doi":"10.3389/fpsyg.2018.00699","title":"Manipulating the Alpha Level Cannot Cure Significance Testing","year":2018,"lang":"en","type":"review","venue":"Frontiers in Psychology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of New Brunswick; Queen's University","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Psychology; Statistical significance; Inference; Statistical hypothesis testing; Significance testing; Statistical inference; MAGIC (telescope); Sample size determination; Multiple comparisons problem; Value (mathematics); Statistics; Econometrics; Cognitive psychology; Computer science; Artificial intelligence; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.09650932,0.0008176956,0.01109741,0.0009244723,0.000261065,0.0005061147,0.006516008,0.00057896,0.001636831],"category_scores_gemma":[0.03280818,0.0003480798,0.002624867,0.004478955,0.0003428614,0.0001202435,0.000256017,0.0009832307,0.002517986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091703,"about_ca_system_score_gemma":0.0002267527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002932592,"about_ca_topic_score_gemma":0.00005453606,"domain_scores_codex":[0.9602327,0.01979619,0.0141018,0.002467326,0.002698321,0.0007036268],"domain_scores_gemma":[0.9751938,0.005525499,0.01133081,0.007158333,0.000654806,0.0001367265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.125196e-7,0.00001170122,0.0009469173,0.0003726966,0.0001272927,0.000009484597,0.0000511091,0.000001116422,2.480095e-8,0.00004064077,0.4134965,0.5849419],"study_design_scores_gemma":[0.00008215419,0.00002887254,0.0002270232,0.001549229,0.0005090415,0.00007510962,0.0001263047,0.0004859658,1.048292e-8,0.005253512,0.9913262,0.0003366534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001858054,0.9128307,0.06230698,0.0002712324,0.006211632,0.00160812,0.00004615639,0.00000871816,0.01671467],"genre_scores_gemma":[0.00001228751,0.9125494,0.07747859,0.0007433481,0.001012186,0.000371961,0.00002432887,0.00007425239,0.007733598],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5846052,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8879887585404752,"score_gpt":0.5969128067077641,"score_spread":0.2910759518327111,"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."}}