{"id":"W4407554672","doi":"10.1101/2025.02.12.637846","title":"A common algorithm for confidence judgements across visual, auditory and audio-visual decisions","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Audio visual; Computer science; Speech recognition; Cognitive psychology; Psychology; Multimedia","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":[0.01093784,0.0007747584,0.001302512,0.001608822,0.0007126959,0.005347538,0.002781519,0.002508248,0.004541793],"category_scores_gemma":[0.1024679,0.0009136799,0.001643744,0.0008756366,0.002721807,0.005374365,0.003415492,0.003556046,0.0007778017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753738,"about_ca_system_score_gemma":0.001734713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403786,"about_ca_topic_score_gemma":0.001551966,"domain_scores_codex":[0.9936592,0.002380392,0.0005200831,0.001724135,0.001357651,0.0003585157],"domain_scores_gemma":[0.9526207,0.03433136,0.004855363,0.003808878,0.003380989,0.001002847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001552411,0.000478801,0.0287906,0.0008890983,0.0007189372,0.0003240237,0.00187085,0.3747698,0.0366242,0.1784028,0.003696979,0.3718815],"study_design_scores_gemma":[0.00006443501,0.0001438768,0.005116606,0.0001218806,0.00005145101,0.0001804015,0.000103726,0.8744138,0.005951231,0.112922,0.000841105,0.00008954101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1093107,0.0002360016,0.8855752,0.0005951991,0.0000899574,0.0002069927,0.0001301951,0.0006147303,0.00324107],"genre_scores_gemma":[0.7567414,0.0001061751,0.241063,0.000209047,0.00004122669,0.0002898704,0.0001639685,0.0001755549,0.001209699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01093784,"threshold_uncertainty_score":0.05784553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058562615497744,"score_gpt":0.3020307268877577,"score_spread":0.2814451007327802,"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."}}