{"id":"W6912284879","doi":"10.5281/zenodo.15497158","title":"Simulated Street Traffic Videos","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pedestrian; Feature (linguistics); Focus (optics); Field (mathematics)","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":[0.0002146359,0.0006624518,0.0002862329,0.0005490258,0.0004696086,0.0007385845,0.0009865687,0.001041174,0.1124361],"category_scores_gemma":[0.00114565,0.0002041994,0.0003233828,0.0006096736,0.000211927,0.0006672775,0.001021089,0.0006906527,0.01459997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005067096,"about_ca_system_score_gemma":0.000578803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041711,"about_ca_topic_score_gemma":0.025854,"domain_scores_codex":[0.9998429,0.00003471482,0.000005580404,0.00002205935,0.00005050028,0.00004417173],"domain_scores_gemma":[0.999447,0.0001217749,0.0000162881,0.00007007398,0.0001479193,0.0001967893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003240577,0.002557154,0.005580557,0.0009742429,0.0001692047,0.001541052,0.001011381,0.07870093,0.01321317,0.01105535,0.7811517,0.1008048],"study_design_scores_gemma":[0.001408344,0.001962492,0.04775068,0.0009206539,0.0001749789,0.001261883,0.002884062,0.2203301,0.01447287,0.01548425,0.6930595,0.0002901195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.3518463,0.0005557122,0.03534741,0.001580393,0.001725539,0.002131497,0.1686719,0.01702785,0.4211134],"genre_scores_gemma":[0.7150177,0.0008325604,0.02467867,0.0006929583,0.0002370618,0.001347671,0.127253,0.002653396,0.1272871],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1124361,"threshold_uncertainty_score":0.3761362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542499696722442,"score_gpt":0.2540488231291397,"score_spread":0.2286238261619153,"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."}}