{"id":"W1035373542","doi":"","title":"Time to Collision of Looming Targets With Single and Dual Visual Tasks","year":2008,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Looming; Dual (grammatical number); Collision; Computer science; Computer vision; Artificial intelligence; Psychology; Computer security; Cognitive psychology; Art","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":[0.0006594129,0.0004050613,0.0006885218,0.0007742133,0.0005162686,0.0009371641,0.0005002019,0.0006237645,0.006690528],"category_scores_gemma":[0.01244992,0.0003064557,0.0003627265,0.0005225988,0.0003299554,0.0007180688,0.001311402,0.0005199909,0.000346519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431282,"about_ca_system_score_gemma":0.001403721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006213773,"about_ca_topic_score_gemma":0.004009846,"domain_scores_codex":[0.9992256,0.0001096752,0.00002964547,0.0000926273,0.0002750417,0.0002674183],"domain_scores_gemma":[0.9917969,0.006354343,0.0004404441,0.0002136075,0.0005796541,0.0006151306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.081696,0.001449803,0.07394867,0.0007151989,0.000679103,0.00263757,0.002023577,0.5119307,0.08826075,0.01594653,0.005216454,0.2154957],"study_design_scores_gemma":[0.0003943924,0.002292628,0.07019971,0.00006286869,0.000169616,0.001210051,0.001034783,0.8925413,0.02067927,0.009664302,0.001629059,0.0001220175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761554,0.0002660829,0.01889223,0.00005365258,0.00006086386,0.00005071447,0.0001720971,0.0001281092,0.004220891],"genre_scores_gemma":[0.9963374,0.00003333214,0.002254687,0.00001327838,0.000004762047,0.00001474581,0.0001697431,0.00003409827,0.001137904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006690528,"threshold_uncertainty_score":0.02238208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030954734383368,"score_gpt":0.2614643604810021,"score_spread":0.2411548131371684,"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."}}