{"id":"W605480777","doi":"","title":"Safe in the Snow","year":2006,"lang":"en","type":"article","venue":"Bridges Conversations in Global Politics and Public Policy","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overlay; Icing; Snow removal; Snow; Frost (temperature); SAFER; Winter storm; Storm; Environmental science; Asphalt; Freezing rain; Bridge (graph theory); Meteorology; Forensic engineering; Engineering; Computer science; Geography; Computer security; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001980751,0.00008778005,0.00008007764,0.00007698513,0.00008962565,0.0001101546,0.000159968,0.00005148188,0.00008469792],"category_scores_gemma":[0.0001231697,0.0000765011,0.00002002828,0.0004431595,0.0002936073,0.0002015882,0.0000807621,0.00005339809,0.00006660832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953632,"about_ca_system_score_gemma":0.0000574785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1421119,"about_ca_topic_score_gemma":0.01062266,"domain_scores_codex":[0.9990808,0.00007808647,0.000197082,0.0001563154,0.0001530787,0.0003345736],"domain_scores_gemma":[0.9996921,0.00004798657,0.00004078992,0.0001656351,0.000005983396,0.00004749487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.917998e-7,0.00002611907,0.6244128,0.000001488858,8.936733e-7,0.000001625674,0.0000541529,0.00004167179,0.000008850622,0.3728673,0.001897718,0.0006865735],"study_design_scores_gemma":[0.0002752207,0.000007827854,0.9342429,0.000003039218,0.000002353061,0.00003748829,0.0001872171,0.000336541,0.00001222356,0.03690154,0.02791212,0.00008154292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467763,0.00001325222,0.00004413586,0.009517814,0.0001169259,0.0001321268,0.00006398256,0.00001443457,0.04332103],"genre_scores_gemma":[0.9986662,0.00001275207,0.0001211393,0.0009476654,0.0001630933,0.00001245769,0.00002276958,0.000003461872,0.00005046704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3359657,"threshold_uncertainty_score":0.8636009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009541121028073113,"score_gpt":0.2378226780601539,"score_spread":0.2282815570320808,"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."}}