{"id":"W6944181549","doi":"10.17632/y9yypy582j.1","title":"TRAP and traffic data for Oshawa and Allen Road","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Trap (plumbing); Context (archaeology); Air quality index; Data quality; Volume (thermodynamics); Traffic volume; Reference data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.002040839,0.0008443496,0.001088259,0.0004249222,0.0002698258,0.0004305086,0.007744011,0.0005560865,0.000128519],"category_scores_gemma":[0.0008857343,0.0008334767,0.00003967065,0.0002291798,0.0002454008,0.001107725,0.009908574,0.0006560505,0.000087923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006142714,"about_ca_system_score_gemma":0.0004690183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003991008,"about_ca_topic_score_gemma":0.004501914,"domain_scores_codex":[0.9944457,0.0002008563,0.0007335682,0.003278804,0.0005429498,0.0007980598],"domain_scores_gemma":[0.984328,0.0003983159,0.0003465747,0.01456288,0.00006720482,0.0002970189],"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":[0.000159189,0.0001543313,7.738225e-7,0.0009498036,0.00050002,0.00002401347,0.00001825638,0.000001204482,0.000007093057,0.00000489448,0.9747779,0.02340252],"study_design_scores_gemma":[0.001996987,0.00009295181,0.00001168359,0.0003008279,0.001233143,0.00004326529,0.0001228799,0.003730321,0.000001114284,0.00002031481,0.9916462,0.000800301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002701126,0.007876889,0.00003023049,0.0003011166,0.0003428443,0.001655145,0.9895805,0.0001373663,0.00004893137],"genre_scores_gemma":[0.000007670028,0.005818867,0.001417539,0.0001969166,0.0003713169,0.0001004776,0.9916008,0.0000990866,0.0003873171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02260221,"threshold_uncertainty_score":0.9994116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175605501612336,"score_gpt":0.365131767548769,"score_spread":0.2475712173875354,"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."}}