{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559836,0.0008858779,0.0007899375,0.00194105,0.0007647783,0.0008903785,0.001439187,0.001063187,0.008811804],"category_scores_gemma":[0.001650622,0.0003087007,0.0006504649,0.003693529,0.0003188441,0.0006088258,0.0007267316,0.0006774192,0.009200433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002685637,"about_ca_system_score_gemma":0.003892509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5099517,"about_ca_topic_score_gemma":0.6402099,"domain_scores_codex":[0.9994429,0.0000403635,0.00004604151,0.0001342889,0.0002224034,0.0001139944],"domain_scores_gemma":[0.9985159,0.0001114918,0.0001244295,0.000205843,0.0009153424,0.0001270173],"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":[0.0002495079,0.000131246,0.02646503,0.00075592,0.000138533,0.0002234532,0.0002394088,0.003284698,0.001183862,0.0009047294,0.9525015,0.01392207],"study_design_scores_gemma":[0.0002053184,0.00005386462,0.137977,0.0003550738,0.00007496864,0.0001511538,0.00126025,0.008684034,0.001914629,0.0008137098,0.8483962,0.0001138421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005201349,0.00007854753,0.0001610704,0.00007437902,0.00003542447,0.00003858018,0.9927797,0.0001911391,0.001439893],"genre_scores_gemma":[0.00748591,0.000069281,0.000441031,0.00002168962,0.000009990931,0.00008035058,0.9907442,0.00003099195,0.001116662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4900483,"threshold_uncertainty_score":0.9858686,"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."}}