{"id":"W2241927039","doi":"","title":"ANALYSIS OF ROAD WEATHER INFORMATION SYSTEM USERS IN CALIFORNIA AND MONTANA","year":2004,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Computer science; Business; Engineering","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":[0.0007486456,0.00005231603,0.0001213202,0.0008294132,0.00005185625,0.00006046462,0.0002693882,0.00003045595,0.000004892039],"category_scores_gemma":[0.000006282542,0.00005156433,0.00003542091,0.002161897,0.00003592672,0.0005890734,0.00001140348,0.00007208576,0.00001346777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008953091,"about_ca_system_score_gemma":0.00004576547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004672921,"about_ca_topic_score_gemma":0.0009824369,"domain_scores_codex":[0.9989078,0.00003547782,0.0002861634,0.0001661175,0.0004560684,0.0001483596],"domain_scores_gemma":[0.9993805,0.00001393796,0.00005288697,0.0003715776,0.0001282561,0.00005288466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002157088,0.0001633926,0.1306289,0.0005014976,0.0004665512,0.00003565452,0.008250504,0.1039782,0.0006261232,0.7329366,0.00003858887,0.0223525],"study_design_scores_gemma":[0.0004346267,0.00001854131,0.9513046,0.00002316364,0.00004074909,1.897582e-7,0.0007952279,0.04606558,0.0001112645,0.0003303967,0.0008038057,0.00007187801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5737008,0.00003651885,0.4254721,0.000193424,0.000005886148,0.0002639738,0.00005075753,0.00002848272,0.0002480151],"genre_scores_gemma":[0.9975438,0.00002323436,0.002251038,0.00001588277,0.000001674784,0.00005206262,0.0001076148,0.000002130126,0.000002553727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8206757,"threshold_uncertainty_score":0.706409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426831659671938,"score_gpt":0.286321216634516,"score_spread":0.2620529000377966,"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."}}