{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01965886,0.0002784366,0.0004676199,0.0004694326,0.0003679921,0.0001150725,0.0004070498,0.0002739691,0.00149415],"category_scores_gemma":[0.002630366,0.000278446,0.00009664112,0.0009049574,0.0007928741,0.0008204844,0.00002071478,0.0004130105,0.0001007568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593463,"about_ca_system_score_gemma":0.0003828187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007038119,"about_ca_topic_score_gemma":0.01828871,"domain_scores_codex":[0.9906658,0.001413968,0.00106653,0.0008251928,0.005080663,0.0009478547],"domain_scores_gemma":[0.9939408,0.001213077,0.0002568849,0.0004247271,0.003674427,0.0004901081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00974705,0.0004843827,0.6193703,0.0006671709,0.0002299621,0.00002269643,0.01726388,0.001595584,0.3153111,0.001772556,0.02481656,0.008718755],"study_design_scores_gemma":[0.01017049,0.002951975,0.7616407,0.000302181,0.0002517128,0.000002505738,0.01112763,0.0007315862,0.1947142,0.008730629,0.008659025,0.0007173829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992819,0.00005605603,0.001551055,0.001189086,0.0003403478,0.003017575,0.0003989909,0.00007202954,0.0005558527],"genre_scores_gemma":[0.9970995,0.00003718075,0.00155039,0.00006565042,0.0001521811,0.000696848,0.000216617,0.00006014966,0.0001215153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1422704,"threshold_uncertainty_score":0.9999668,"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."}}