{"id":"W207215358","doi":"","title":"Field Evaluation of Organic Materials for Winter Snow and Ice Control","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Snow removal; Control (management); Environmental science; Transport engineering; Engineering; Computer science; Meteorology; Geography","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":[0.001203421,0.0007016774,0.0004602715,0.001165094,0.0005369907,0.0004819312,0.0005366279,0.0005498407,0.001245482],"category_scores_gemma":[0.001003445,0.0001993229,0.0005277598,0.0007890414,0.0003816969,0.0003660413,0.0003679833,0.0003359168,0.0001794631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006881583,"about_ca_system_score_gemma":0.0005348792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003809478,"about_ca_topic_score_gemma":0.01127361,"domain_scores_codex":[0.9990908,0.000186307,0.00005518765,0.0001004534,0.0004627469,0.0001045702],"domain_scores_gemma":[0.9987502,0.0002271366,0.0002000253,0.00005758785,0.0006204885,0.000144471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003263297,0.00213315,0.006843306,0.001581855,0.00009897416,0.0002494389,0.0003108984,0.00489097,0.9438726,0.0001939022,0.0004268206,0.03613478],"study_design_scores_gemma":[0.0001191303,0.03655573,0.02437365,0.00008275583,0.0001944046,0.0001505766,0.000753816,0.003108354,0.9294096,0.00009830573,0.005115776,0.00003776908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977812,0.0005314388,0.0005749568,0.00002115628,0.00002088489,0.0001196334,0.0001636735,0.000008122549,0.0007788473],"genre_scores_gemma":[0.9918714,0.0009228396,0.004471226,0.00003683971,0.00001542655,0.00008516965,0.000256941,0.00001022093,0.002330004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003809478,"threshold_uncertainty_score":0.007574618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06498349164960394,"score_gpt":0.3684362543017343,"score_spread":0.3034527626521303,"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."}}