{"id":"W649976771","doi":"","title":"WHAT CITIES LEARNED FROM WINTER 2005","year":2005,"lang":"en","type":"article","venue":"Better roads","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Winter storm; Bridge (graph theory); Snow removal; Transport engineering; Closed circuit; Global Positioning System; Plan (archaeology); Storm; Telecommunications; Meteorology; Control (management); Truck; Aeronautics; Computer science; Engineering; Geography; Archaeology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008014456,0.00010859,0.00009796048,0.00002007866,0.00005813716,0.0001490991,0.0001527641,0.00005651491,0.02267799],"category_scores_gemma":[0.000004667118,0.0001012655,0.00004413532,0.00003673859,0.0001183452,0.0009627508,0.0001328996,0.00006241516,0.009129379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003951,"about_ca_system_score_gemma":0.000002407125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002714958,"about_ca_topic_score_gemma":0.0004850852,"domain_scores_codex":[0.999172,0.00003431634,0.0001493728,0.0002404915,0.0001785251,0.0002253454],"domain_scores_gemma":[0.999652,0.00001259798,0.00004136976,0.0002378147,0.000001926812,0.00005430933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005386095,0.00004905761,0.60469,0.00000281246,0.00003643208,0.000008535793,0.001262482,0.0002523496,0.1079063,0.00002052342,0.1234695,0.1622482],"study_design_scores_gemma":[0.0003679186,0.00001666856,0.2987454,0.00001755582,0.0000152798,0.00001138361,0.0001557909,0.0001345023,0.04140914,0.0009418196,0.6579376,0.0002469736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898024,0.00003773529,0.00007528142,0.006045702,0.0009426843,0.00006723721,0.000004326288,0.00007360168,0.002951002],"genre_scores_gemma":[0.9924568,0.00002365739,0.001939168,0.003085277,0.0005908167,0.00001139307,0.00001549899,0.00001724705,0.001860142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5344681,"threshold_uncertainty_score":0.9916421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472140723356468,"score_gpt":0.2198514401784988,"score_spread":0.2051300329449341,"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."}}