{"id":"W7132209169","doi":"","title":"First experience with application of road condition model METRo in the Czech Republic","year":2013,"lang":"en","type":"article","venue":"ASEP","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Cloud cover; Road surface; Hydrometeorology; Cover (algebra); Statistical analysis; Statistical model","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":[],"consensus_categories":[],"category_scores_codex":[0.0001131272,0.00004988744,0.0000545302,0.0000211075,0.00004300438,0.00001423002,0.0001359556,0.00002416551,0.0003008485],"category_scores_gemma":[0.00001274843,0.00003356578,0.00001058009,0.000179642,0.0001239615,0.0003418279,0.00002665172,0.00002887734,0.0001177234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004480993,"about_ca_system_score_gemma":0.000003139946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003155791,"about_ca_topic_score_gemma":0.0006975816,"domain_scores_codex":[0.999466,0.00002097961,0.0001233504,0.0001360159,0.0001659873,0.00008767848],"domain_scores_gemma":[0.9996564,0.00001361023,0.00007451852,0.0002331952,0.000006494366,0.00001577555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002045373,0.0001068992,0.9168278,0.00001093529,0.000004335778,7.000677e-7,0.002587694,0.01055211,0.0628901,0.0008785567,0.00059426,0.005526141],"study_design_scores_gemma":[0.000170389,0.00003697419,0.9446954,0.0000045614,0.000003696463,0.000007691968,0.0005250492,0.04246259,0.01046868,0.001374515,0.0001755156,0.0000749743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952848,0.000001922499,0.003378683,0.0001735098,0.00001902566,0.000277205,0.000001871934,0.00001266844,0.0008503217],"genre_scores_gemma":[0.9985598,9.001998e-7,0.001085397,0.00007417877,0.000007530841,0.000252796,0.000007387108,0.000003792363,0.000008190823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05242141,"threshold_uncertainty_score":0.4770633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007719956800871585,"score_gpt":0.2171233927108774,"score_spread":0.2094034359100058,"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."}}