{"id":"W2044050052","doi":"10.1016/j.visres.2006.02.025","title":"Perception of visual motion coherence by rats and mice","year":2006,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Lethbridge","funders":"","keywords":"Coherence (philosophical gambling strategy); Psychophysics; Optics; Motion perception; Perception; Computer vision; Artificial intelligence; Motion (physics); Physics; Communication; Frame (networking); Primate; Mathematics; Computer science; Psychology; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171169,0.00007760829,0.00009695101,0.0001788427,0.0002584259,0.00009718716,0.0001328218,0.00008408157,0.0002354613],"category_scores_gemma":[0.0002001635,0.00006819082,0.00002026479,0.0004635281,0.000234362,0.0002033628,0.00008126321,0.0002116876,0.0001830113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002654305,"about_ca_system_score_gemma":0.00002521338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001403527,"about_ca_topic_score_gemma":0.000003835448,"domain_scores_codex":[0.9981283,0.0003828196,0.0001843591,0.0003539454,0.0007140542,0.0002365353],"domain_scores_gemma":[0.9994712,0.0001660542,0.00004539759,0.0001059288,0.000142711,0.00006863414],"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":[0.00003560082,0.0001555541,0.0001015985,0.00002917789,1.820856e-7,9.641883e-7,0.00008933611,0.000002229421,0.9607067,0.0003021676,0.003694096,0.03488238],"study_design_scores_gemma":[0.0003662939,0.0006764458,0.005428342,0.0000596051,0.000001708909,0.000007873903,0.0003969057,0.006437541,0.9824973,0.002557173,0.001446377,0.0001244332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996313,0.00003154477,0.001927671,0.0002673825,0.00005113666,0.000172411,0.000007918655,0.00008577029,0.001143192],"genre_scores_gemma":[0.9981518,0.00005817978,0.0001646286,0.00007217742,0.00003857201,0.000008149679,0.000005257984,0.00001830125,0.001482978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03475795,"threshold_uncertainty_score":0.2780741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08878545417540665,"score_gpt":0.4376727282271133,"score_spread":0.3488872740517067,"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."}}