{"id":"W1570089496","doi":"10.1111/j.1475-1313.2012.00909.x","title":"Vision and cricket","year":2012,"lang":"en","type":"review","venue":"Ophthalmic and Physiological Optics","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cricket; Ball (mathematics); Perception; Computer vision; Computer science; Artificial intelligence; Motion perception; Trajectory; Psychology; Mathematics; Motion (physics); Physics; Mathematical analysis","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":[0.0005972486,0.00166634,0.001765275,0.003651834,0.000613487,0.001586677,0.001250377,0.002057058,0.007517683],"category_scores_gemma":[0.001014384,0.0004789102,0.0004605363,0.002830379,0.001607036,0.002979165,0.001448326,0.00243259,0.003660841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009985432,"about_ca_system_score_gemma":0.002004509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584452,"about_ca_topic_score_gemma":0.006288918,"domain_scores_codex":[0.999774,0.00003071294,0.00003698945,0.00005346165,0.00007892,0.00002593729],"domain_scores_gemma":[0.9997397,0.00009420783,0.00003781978,0.00001411089,0.00007743126,0.0000367066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009118373,0.0000579467,0.000126998,0.008234062,0.00004274266,0.0002454408,0.00004837996,0.0002394617,0.001047835,0.004256196,0.04183149,0.9437784],"study_design_scores_gemma":[0.00001133755,0.0000507577,0.0007058241,0.002135867,0.00005474509,0.001604056,0.00006175206,0.00007245993,0.0003628161,0.002601827,0.9923179,0.00002054739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000987118,0.9965116,0.0002099667,0.0002416829,0.0005969357,0.000005572429,0.00001735668,0.000008724759,0.002309398],"genre_scores_gemma":[0.0009122364,0.9943527,0.0002866821,0.0003322319,0.0007229592,0.00000974571,0.0000421429,0.00000403753,0.003337253],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007517683,"threshold_uncertainty_score":0.02514923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3187799304713337,"score_gpt":0.4331300927155906,"score_spread":0.1143501622442569,"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."}}