{"id":"W1999901843","doi":"10.1167/13.9.1295","title":"Multiple Object Tracking: Support for Hemispheric Independence","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Tracking (education); Independence (probability theory); Object (grammar); Computer science; Distribution (mathematics); Computer vision; Video tracking; Artificial intelligence; Psychology; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005422875,0.00009587118,0.0002079079,0.00006263679,0.00006376048,0.0000422906,0.0002083994,0.000118648,0.003195914],"category_scores_gemma":[0.0002049854,0.00007255437,0.0001706809,0.00009136651,0.00002071474,0.0002586988,0.0000193206,0.0002528757,0.0001822902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002748739,"about_ca_system_score_gemma":0.00003769834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003176336,"about_ca_topic_score_gemma":0.000001302316,"domain_scores_codex":[0.9989551,0.0000421443,0.0004225988,0.0001244051,0.0002441197,0.0002115789],"domain_scores_gemma":[0.9988005,0.000261957,0.0004226486,0.0001368052,0.0002753293,0.0001028152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009556605,0.0008087332,0.03606732,0.00005675468,0.0001933461,0.0001546311,0.005261702,0.0001253483,0.3544297,0.0003035714,0.2020915,0.3995518],"study_design_scores_gemma":[0.00498314,0.003452257,0.9080821,0.0001302689,0.00005957038,0.0006967505,0.001999197,0.0009274035,0.003814789,0.001695853,0.07381507,0.0003436495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791253,0.0003581438,0.01169009,0.0005121308,0.001440547,0.0003138991,0.000002743309,0.00002051474,0.006536602],"genre_scores_gemma":[0.994557,0.00001283253,0.002492486,0.0002213194,0.0002783643,0.00000710158,0.00000131302,0.00001824432,0.002411325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8720147,"threshold_uncertainty_score":0.9977153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428557135190728,"score_gpt":0.3320712460079711,"score_spread":0.3077856746560638,"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."}}