{"id":"W7099345266","doi":"","title":"Open Access The Impact of Cold and Snow on Weekday and Weekend Highway Total and Passenger Cars Traffic Volumes","year":2016,"lang":"en","type":"article","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Regression analysis; Traffic volume; Linear regression; Variables; Variable (mathematics); Statistical analysis; Data collection","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008837137,0.00009864943,0.0001273829,0.00004093428,0.00005296505,0.0002197638,0.0001093062,0.00004282807,0.0001882273],"category_scores_gemma":[0.00002192743,0.00004976563,0.00001617125,0.00006306219,0.00005364924,0.0007509637,0.00005676132,0.00004868305,0.000003299974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001260271,"about_ca_system_score_gemma":0.00001566929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006006305,"about_ca_topic_score_gemma":0.00008799932,"domain_scores_codex":[0.9995832,0.00001542344,0.0001184753,0.0001215328,0.00006525365,0.00009613467],"domain_scores_gemma":[0.9996089,0.0001813148,0.00002586685,0.00009549162,0.00002680898,0.00006156013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004139026,0.0003831423,0.03216988,0.0004833262,0.001058876,0.00001619149,0.003842923,0.01489247,0.2691115,0.01750056,0.2963997,0.3637276],"study_design_scores_gemma":[0.00606942,0.001159197,0.7226879,0.0003327126,0.0001104584,0.0001586698,0.001259502,0.04297982,0.1368253,0.0004186865,0.08666453,0.00133379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905575,0.0002696733,0.00008594741,0.0005615082,0.0000573308,0.0001550346,0.00001632653,0.00005089955,0.008245767],"genre_scores_gemma":[0.9944711,0.0003964326,0.0000190453,0.00002885449,0.00002017688,0.00001002581,7.345101e-7,0.00001095479,0.005042673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.690518,"threshold_uncertainty_score":0.2119188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260864750001392,"score_gpt":0.3183405478583081,"score_spread":0.2922540728581688,"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."}}