{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449417,0.0001967883,0.0002155333,0.0007952263,0.0004525227,0.0009486009,0.0006070732,0.0003305089,0.005077112],"category_scores_gemma":[0.002950829,0.0001198239,0.0004320308,0.001234769,0.0003806943,0.0004917847,0.0005524376,0.0002210778,0.0005574211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721416,"about_ca_system_score_gemma":0.001456818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2675606,"about_ca_topic_score_gemma":0.3760178,"domain_scores_codex":[0.9994172,0.0001205645,0.00002587431,0.00007373485,0.0002311174,0.0001315686],"domain_scores_gemma":[0.9980543,0.0007667727,0.0004078906,0.0001305726,0.0005044796,0.0001360553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003948814,0.0001526159,0.9436804,0.00008439385,0.0001836563,0.0003034147,0.0003517164,0.02209331,0.002082738,0.0005823603,0.001471491,0.02861914],"study_design_scores_gemma":[0.000005794237,0.0001234103,0.9738014,0.00001206962,0.00004302051,0.00006359033,0.0006791784,0.0215361,0.001639999,0.000198717,0.001886084,0.00001061362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947532,0.00005175408,0.0009385088,0.000037275,0.000007773517,0.00001220278,0.001873084,0.0000513864,0.002274629],"genre_scores_gemma":[0.9961089,0.00004631289,0.0004117966,0.0000052704,0.000004973742,0.00000606507,0.002065097,0.000008861429,0.001342682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2675606,"threshold_uncertainty_score":0.5320064,"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."}}