{"id":"W2467174478","doi":"10.1080/17470218.2016.1206130","title":"Reproducing the Location-Based Context-Specific Proportion Congruent Effect for Frequency Unbiased Items: A Reply to Hutcheon and Spieler (2016)","year":2016,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Psychology; Stroop effect; Cognitive psychology; Control (management); Artificial intelligence; Computer science; Cognition; Neuroscience; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0006735452,0.000222582,0.0003416828,0.0001364251,0.000227899,0.00003855479,0.0002740531,0.00006763566,0.00005226176],"category_scores_gemma":[0.0001834461,0.0001145961,0.0001196526,0.0001637443,0.0004150975,0.0001993739,0.00001235627,0.0001495352,0.00002493277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006228838,"about_ca_system_score_gemma":0.00003034711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001518436,"about_ca_topic_score_gemma":0.000003837772,"domain_scores_codex":[0.9979073,0.0002695703,0.0006772174,0.0006228652,0.0002085771,0.0003144704],"domain_scores_gemma":[0.998409,0.0004062338,0.0004716305,0.0004177126,0.0001745373,0.0001208383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001043175,0.0002331682,0.001179778,0.000005120636,0.00001088242,0.00002681506,0.0006456975,2.072113e-7,0.9542952,0.0001037573,0.006987716,0.03546854],"study_design_scores_gemma":[0.004509084,0.01828568,0.007178974,0.0001501797,0.00002868904,0.0003857958,0.000604872,0.000001444553,0.9614527,0.0005044453,0.006639978,0.0002581086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760899,0.0008107519,0.001209068,0.01943501,0.00145167,0.0009073464,0.000007082315,0.00002374412,0.00006543227],"genre_scores_gemma":[0.9931446,0.00001418608,0.0001432918,0.006216396,0.0002351976,0.0001188548,5.110263e-7,0.00002039109,0.0001065239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03521043,"threshold_uncertainty_score":0.4673093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09106683022373445,"score_gpt":0.3924176117138867,"score_spread":0.3013507814901522,"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."}}