{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006509143,0.001184876,0.0009405844,0.001588329,0.0003514994,0.00103949,0.0007643783,0.001024936,0.003990955],"category_scores_gemma":[0.00181039,0.000718838,0.000498548,0.000246832,0.001994289,0.001204447,0.0009340442,0.002739348,0.0004613149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000500893,"about_ca_system_score_gemma":0.0005283116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165971,"about_ca_topic_score_gemma":0.001433376,"domain_scores_codex":[0.9993693,0.00009010389,0.00003699232,0.000245958,0.0001139632,0.0001436193],"domain_scores_gemma":[0.9970391,0.000485813,0.0009449218,0.0004752867,0.0002580982,0.0007967693],"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":[0.002314731,0.0001004764,0.001111025,0.00003100565,0.00002608543,0.00006084998,0.00009216832,0.0001303768,0.9922757,0.0007430968,0.0001250796,0.002989369],"study_design_scores_gemma":[0.0005887398,0.004096285,0.03621139,0.00004469401,0.0002392733,0.0005364951,0.0006127092,0.004361747,0.948724,0.002612917,0.001809967,0.0001616939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934715,0.0003443387,0.004609871,0.0004929152,0.0000861964,0.00001383577,0.0002558886,0.0002285702,0.0004969863],"genre_scores_gemma":[0.9868396,0.0006101439,0.006260118,0.0003921363,0.00005513907,0.0001048221,0.0004347252,0.0003380765,0.004965198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003990955,"threshold_uncertainty_score":0.01335102,"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."}}