{"id":"W592389100","doi":"","title":"Evaluation of Snow and Ice Control Materials for Highway Maintenance Operations: A Renewed, Data-Driven Perspective","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snow; Brine; Highway maintenance; Context (archaeology); Snow removal; Environmental science; Control (management); Work (physics); Transport engineering; Computer science; Engineering; Meteorology; Geology; Chemistry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02917163,0.0003431753,0.0005837252,0.0005209958,0.0008055923,0.0001858895,0.0008213234,0.0002602353,0.0006942383],"category_scores_gemma":[0.004484951,0.0003396177,0.00009432241,0.0009839116,0.001486734,0.001415897,0.00004565307,0.0004488949,0.00006471955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611692,"about_ca_system_score_gemma":0.0003852865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02764326,"about_ca_topic_score_gemma":0.05560259,"domain_scores_codex":[0.9876857,0.002823035,0.00123617,0.001441626,0.00576717,0.001046268],"domain_scores_gemma":[0.9910149,0.001410718,0.000268172,0.0009385661,0.006035017,0.0003326438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009452819,0.001486636,0.1444554,0.001445347,0.0009525378,0.000027166,0.03270794,0.07923669,0.6037017,0.0748286,0.022058,0.02964712],"study_design_scores_gemma":[0.01329633,0.002083263,0.8407092,0.0006740118,0.0006223021,0.000003869751,0.0171373,0.04751888,0.0492189,0.0172524,0.01026426,0.001219288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843579,0.00005451732,0.006730007,0.001685979,0.0002786764,0.00402595,0.002272769,0.00009870137,0.000495522],"genre_scores_gemma":[0.9912216,0.000102457,0.006390705,0.00004634181,0.0002107542,0.001096174,0.0007602644,0.0000726319,0.00009905235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6962538,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06580046968830684,"score_gpt":0.375191296184102,"score_spread":0.3093908264957952,"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."}}