{"id":"W7141762712","doi":"10.5683/sp3/1xl4ht","title":"Data for: Multiple-object tracking in displays where each item is unique: Do competing organizations impair the ability to track targets that share a common colour or shape?","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Tracking (education); Object (grammar); Track (disk drive); Similarity (geometry); Video tracking; Tracking system","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":[0.002433082,0.004307747,0.00227071,0.003129886,0.001730806,0.002733306,0.004231238,0.004424073,0.03398357],"category_scores_gemma":[0.01533153,0.0009433159,0.002244719,0.003133376,0.0008619262,0.001861052,0.002952108,0.002409555,0.08480585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769279,"about_ca_system_score_gemma":0.002165635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03782591,"about_ca_topic_score_gemma":0.08744469,"domain_scores_codex":[0.9974961,0.0004491736,0.0002665606,0.0007176055,0.0007557219,0.0003148475],"domain_scores_gemma":[0.9925109,0.00218836,0.0008573133,0.002164382,0.001775052,0.0005039472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000586566,0.0001954266,0.005094486,0.002329549,0.0001699935,0.00009049866,0.0001062587,0.0005743901,0.0008163792,0.0004364986,0.980682,0.008917943],"study_design_scores_gemma":[0.001207986,0.0002494783,0.04457093,0.000921378,0.0003632992,0.0004898416,0.0003750871,0.002804093,0.003329787,0.003319724,0.942147,0.0002213208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001308563,0.0004243356,0.0002939181,0.0001555492,0.00008178654,0.00004660079,0.9954512,0.001064511,0.001173614],"genre_scores_gemma":[0.002413707,0.00006553396,0.0007894689,0.00006392143,0.00001202449,0.0001770773,0.9955356,0.00008851774,0.0008541728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03782591,"threshold_uncertainty_score":0.1136863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05431002829831563,"score_gpt":0.3469305661949988,"score_spread":0.2926205378966832,"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."}}