{"id":"W1982854085","doi":"10.1016/j.visres.2007.06.008","title":"Velocity discrimination thresholds for flowfield motions with moving observers","year":2007,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Treadmill; Head (geology); Visual field; Physics; Computer science; Simulation; Optics; Geology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007434949,0.000230197,0.0002574911,0.0008514747,0.0002357556,0.0004962544,0.0003499999,0.0008260353,0.005655552],"category_scores_gemma":[0.009782795,0.0002876387,0.0002194247,0.0002169086,0.0003705229,0.000942739,0.0006846332,0.0007083846,0.000259991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003965517,"about_ca_system_score_gemma":0.0002746277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244293,"about_ca_topic_score_gemma":0.001907797,"domain_scores_codex":[0.9997783,0.00003545946,0.00002059241,0.0000545144,0.00004992332,0.00006116839],"domain_scores_gemma":[0.9954678,0.003317142,0.0002018414,0.000210353,0.000324054,0.0004787476],"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":[0.007650496,0.000295625,0.01797395,0.0001579118,0.00003431487,0.0002084322,0.0006457514,0.001071955,0.9413289,0.003084903,0.0006799164,0.02686786],"study_design_scores_gemma":[0.0004649193,0.004416329,0.6191396,0.000163063,0.0002219275,0.00243971,0.0006900327,0.03344452,0.3282622,0.009166363,0.001456555,0.0001347908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946939,0.000105744,0.00337026,0.00006422581,0.00002792848,0.00001971688,0.0001033796,0.00003917159,0.001575686],"genre_scores_gemma":[0.998001,0.00007309926,0.001043295,0.00006666995,0.00001300975,0.00001092016,0.0001325544,0.00001871611,0.0006408203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005655552,"threshold_uncertainty_score":0.01891971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2759436002716213,"score_gpt":0.4794805740772481,"score_spread":0.2035369738056267,"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."}}