{"id":"W3030344239","doi":"10.1177/2515245920902370","title":"Average Power: A Cautionary Note","year":2020,"lang":"en","type":"article","venue":"Advances in Methods and Practices in Psychological Science","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Replication (statistics); Power (physics); Statistics; Point estimation; Point (geometry); Interval (graph theory); Econometrics; Set (abstract data type); Confidence interval; Computer science; Statistical power; Mathematics","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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1932659,0.000220135,0.001436609,0.0002829848,0.0001728898,0.0006154454,0.002381308,0.00009129912,0.003033798],"category_scores_gemma":[0.2266041,0.0001073239,0.0002192557,0.00538508,0.0006730667,0.002512353,0.0003353813,0.0004983715,0.0002229658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714614,"about_ca_system_score_gemma":0.00003551796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005294319,"about_ca_topic_score_gemma":0.00001010294,"domain_scores_codex":[0.9763682,0.0141718,0.004015207,0.002109363,0.002914763,0.0004206708],"domain_scores_gemma":[0.9768097,0.01734167,0.003865058,0.001427505,0.0002505601,0.0003055389],"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":[0.00007669551,0.0001551723,0.07416201,0.00001852622,0.000004893186,0.00007373785,0.001525108,0.000708842,0.001845987,0.02104954,0.0003981805,0.8999813],"study_design_scores_gemma":[0.0003808235,0.0003285952,0.1286639,0.00002376668,0.00001520888,0.00006052164,0.0009697201,0.0238318,0.00005049214,0.1893472,0.6559731,0.0003549228],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1396976,0.01836913,0.6164054,0.02198881,0.001196871,0.0009921305,0.00000656506,0.00001831034,0.2013252],"genre_scores_gemma":[0.5990786,0.00125729,0.3966798,0.002844503,0.00003165631,0.00001812012,2.230084e-7,0.000002644606,0.00008718799],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8996264,"threshold_uncertainty_score":0.9978775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6789778041158172,"score_gpt":0.7176353302788105,"score_spread":0.03865752616299334,"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."}}