{"id":"W7015885240","doi":"","title":"Validation of Streetlight Insight® 2021 Vehicle Volume Metrics in Maine","year":2022,"lang":"en","type":"article","venue":"DigitalCommons (California Polytechnic State University)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Volume (thermodynamics); Traffic volume; Center (category theory); Vehicle miles of travel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003747134,0.0005445614,0.0002839838,0.001500307,0.000499428,0.001027397,0.001281387,0.0007790857,0.00123529],"category_scores_gemma":[0.01098552,0.0002833264,0.0003456901,0.001617428,0.0004828433,0.001587054,0.001184206,0.0005863559,0.001039863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182537,"about_ca_system_score_gemma":0.001299973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1004519,"about_ca_topic_score_gemma":0.1219478,"domain_scores_codex":[0.9978471,0.0004974919,0.000148411,0.0004411787,0.000889504,0.0001762537],"domain_scores_gemma":[0.9933761,0.001284907,0.0005006909,0.0008432911,0.003765885,0.0002291867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008581352,0.001818445,0.7155197,0.0002240553,0.0002816868,0.0006171056,0.002626078,0.07956149,0.009464209,0.006972988,0.05390198,0.128154],"study_design_scores_gemma":[0.0001691504,0.001067964,0.7335065,0.0002665455,0.00004898644,0.0002388043,0.001314447,0.1981229,0.0167775,0.00193427,0.04646686,0.00008609393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600161,0.000166684,0.01131087,0.0004019807,0.00007011459,0.0003127176,0.01346746,0.0009780308,0.01327591],"genre_scores_gemma":[0.9601148,0.0001184572,0.009060696,0.0002451063,0.00002018249,0.0003626356,0.02664276,0.0001759872,0.003259419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1004519,"threshold_uncertainty_score":0.1997345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009051674344975716,"score_gpt":0.1788248563617759,"score_spread":0.1697731820168002,"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."}}