{"id":"W2061792013","doi":"10.1068/p3247","title":"What does the Ternus Display Tell us about Motion Processing in Human Vision?","year":2001,"lang":"en","type":"article","venue":"Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer vision; Artificial intelligence; Motion (physics); Interstimulus interval; Motion perception; Computer science; Stimulus (psychology); Communication; Psychology; Cognitive 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821512,0.0001787553,0.0001313818,0.0001371757,0.000580198,0.0006955964,0.0002543778,0.0001092667,0.0008658977],"category_scores_gemma":[0.00006162571,0.0001097896,0.00005609256,0.0003874824,0.0001244172,0.001506322,0.00005182246,0.0002619612,0.0002971075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000998476,"about_ca_system_score_gemma":0.00001495183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004582803,"about_ca_topic_score_gemma":0.0001912382,"domain_scores_codex":[0.998347,0.0001988513,0.0002891704,0.000481637,0.000378285,0.000305082],"domain_scores_gemma":[0.9995397,0.00002604764,0.0001062026,0.0002279614,0.00003683574,0.00006328445],"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":[0.00002311537,0.0001290564,0.00198768,0.00002552917,2.522105e-7,0.000006082501,0.004012549,0.00007726393,0.8569306,0.0001013256,0.00002536567,0.1366812],"study_design_scores_gemma":[0.001421621,0.0003536957,0.904862,0.0008067069,0.00002858043,0.000186996,0.006560446,0.04336176,0.02957975,0.005153834,0.006820582,0.0008640065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940997,0.00003079515,0.003376281,0.0006821836,0.000509416,0.0002540077,0.000001361733,0.0001389869,0.0009072279],"genre_scores_gemma":[0.9958726,0.0003704048,0.00005984642,0.001424145,0.0002226731,0.00003322335,0.000009008899,0.00002517759,0.001982889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9028744,"threshold_uncertainty_score":0.9480973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933746135687916,"score_gpt":0.3561246846367066,"score_spread":0.3167872232798274,"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."}}