{"id":"W4403320184","doi":"10.1371/journal.pone.0311992","title":"Precision and temporal dynamics in heading perception assessed by continuous psychophysics","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Psychophysics; Heading (navigation); Computer science; Perception; Noise (video); Artificial intelligence; Percept; QUIET; Computer vision; Physics; Psychology; Neuroscience","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":[0.0007490002,0.0003429186,0.0002068234,0.0003983249,0.0001187525,0.0005990826,0.0001540724,0.0003352558,0.001598024],"category_scores_gemma":[0.008510241,0.0001779442,0.000222322,0.0002076628,0.0003409165,0.0004683372,0.0006211275,0.0003651997,0.0001518787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422372,"about_ca_system_score_gemma":0.0001485434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007110026,"about_ca_topic_score_gemma":0.0005301077,"domain_scores_codex":[0.9995435,0.00007787228,0.00003723867,0.0001396155,0.0001554109,0.00004630601],"domain_scores_gemma":[0.9969861,0.001454404,0.000796678,0.0003075267,0.0002285094,0.0002268276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004418346,0.0004603535,0.1142562,0.0003871175,0.0002229302,0.0001932991,0.002826279,0.007488715,0.8083168,0.0005462617,0.0003918739,0.06049186],"study_design_scores_gemma":[0.0000837331,0.002050895,0.9659228,0.00001877958,0.00005581089,0.00026019,0.0003950454,0.01055157,0.01942159,0.0007993096,0.0003705151,0.00006962921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952449,0.00005588954,0.00426809,0.00001054127,0.000005230672,0.00001719306,0.00008233387,0.000020731,0.0002950112],"genre_scores_gemma":[0.9975557,0.00003165423,0.002130236,0.000009673487,0.000006303687,0.00002589497,0.00009535387,0.00001116682,0.0001340742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001598024,"threshold_uncertainty_score":0.005345941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06617395489288029,"score_gpt":0.3205793927205293,"score_spread":0.254405437827649,"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."}}