{"id":"W2144632605","doi":"10.3758/s13423-014-0757-4","title":"Making sense of the noise: Replication difficulties of Correll’s (2008) modulation of 1/f noise in a racial bias task","year":2014,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Task (project management); Noise (video); Replication (statistics); Social psychology; Replicate; Cognitive psychology; Population; Computer science; Statistics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03591966,0.001002626,0.0009764805,0.0008998575,0.001031734,0.001526318,0.003679082,0.00195822,0.003763082],"category_scores_gemma":[0.1885297,0.0008505017,0.0007290509,0.0005337938,0.002056442,0.002603798,0.002075887,0.002445451,0.001609512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005787508,"about_ca_system_score_gemma":0.001207422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005763817,"about_ca_topic_score_gemma":0.004382692,"domain_scores_codex":[0.9893109,0.003706301,0.001057456,0.002286705,0.003482643,0.0001561544],"domain_scores_gemma":[0.8585061,0.06067077,0.00757423,0.05721139,0.014981,0.00105652],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008623358,0.003988277,0.1344655,0.003171338,0.002464097,0.0009955916,0.03116664,0.002653504,0.1963481,0.02463231,0.02741988,0.5640713],"study_design_scores_gemma":[0.003418852,0.004962848,0.6984636,0.001273883,0.002819633,0.003397023,0.005765113,0.01523464,0.09819637,0.07664102,0.08911315,0.0007138493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415267,0.006799569,0.08494285,0.009041837,0.002623028,0.002591381,0.001441274,0.0007896911,0.05024364],"genre_scores_gemma":[0.9518175,0.0009672254,0.03364254,0.003976957,0.000639496,0.001811867,0.0005785048,0.0006536528,0.005912186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9640803,"threshold_uncertainty_score":0.1899635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05599527378803162,"score_gpt":0.3511162002991092,"score_spread":0.2951209265110776,"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."}}