{"id":"W4386242507","doi":"10.1167/jov.23.9.4682","title":"The Effect of Item Uniqueness on Multiple Object Tracking","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Uniqueness; Object (grammar); Perception; Tracking (education); Task (project management); Mathematics; Cognitive psychology; Computer science; Artificial intelligence; Psychology; Social psychology","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":[0.001957612,0.00008036169,0.0002043211,0.0001365079,0.0001103596,0.00001872446,0.0001936142,0.00006681323,0.00004888725],"category_scores_gemma":[0.000660934,0.00004299838,0.0001691856,0.0002467012,0.00002852883,0.00005275325,0.00002197317,0.0002576555,0.00004648366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002033958,"about_ca_system_score_gemma":0.00001064338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001006497,"about_ca_topic_score_gemma":0.000002060347,"domain_scores_codex":[0.99882,0.0003499613,0.0003478825,0.00007937544,0.0002521569,0.0001506225],"domain_scores_gemma":[0.9954036,0.003944527,0.0003916837,0.0001552792,0.00006646031,0.00003846853],"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":[0.005613345,0.0001544025,0.07891008,0.00007386609,0.0002739425,0.0004851076,0.004399568,0.001402059,0.1800814,0.0005442591,0.01736781,0.7106941],"study_design_scores_gemma":[0.00230301,0.004923408,0.9625502,0.0003974367,0.00003691532,0.00007048341,0.0006793924,0.0005100193,0.01891385,0.0001608662,0.009352154,0.0001022573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970748,0.0002222296,0.00007746104,0.0002756239,0.0009931951,0.00008556895,0.00000111333,0.00001557525,0.001254437],"genre_scores_gemma":[0.9994265,0.00005367395,0.0000103704,0.00002500063,0.0001455025,0.000001310978,6.070613e-7,0.00001427527,0.0003227403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8836401,"threshold_uncertainty_score":0.1753423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994606410753536,"score_gpt":0.3551998937847882,"score_spread":0.3352538296772529,"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."}}