{"id":"W4255226570","doi":"10.1167/14.10.1029","title":"Probability Cues Enhance Perceptual Estimations","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cued speech; Kurtosis; Perception; Probability distribution; Psychology; Computer science; Statistics; Cognitive psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001422366,0.0008701336,0.0007243814,0.0009909063,0.0003813704,0.002165098,0.0006741883,0.001271776,0.005684915],"category_scores_gemma":[0.03617873,0.0008334311,0.0005207743,0.0004564388,0.0006065166,0.003783102,0.003516858,0.001407343,0.0009402488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000526723,"about_ca_system_score_gemma":0.0005108548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493209,"about_ca_topic_score_gemma":0.001114542,"domain_scores_codex":[0.9978378,0.0002684534,0.0001938235,0.0005607607,0.0009200585,0.0002190559],"domain_scores_gemma":[0.9820393,0.01043061,0.002719376,0.002467983,0.001745372,0.000597322],"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":[0.003527432,0.0002921114,0.02619354,0.0008211605,0.0001630657,0.0003610395,0.001048038,0.009374026,0.7395984,0.004500322,0.001527611,0.2125932],"study_design_scores_gemma":[0.000238305,0.002617981,0.6046939,0.0003012015,0.0005629034,0.001295356,0.000619073,0.08949215,0.2710018,0.01901527,0.009713741,0.0004482816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209393,0.00118427,0.06442767,0.0002923472,0.0001689451,0.0001078045,0.0002903328,0.0009528567,0.0116365],"genre_scores_gemma":[0.9805081,0.0003661521,0.01714081,0.0001169037,0.0000617239,0.00002733275,0.0002251836,0.0002837898,0.001270126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005684915,"threshold_uncertainty_score":0.01901793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312739703876637,"score_gpt":0.4414980236351232,"score_spread":0.3102240532474595,"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."}}