{"id":"W2034311092","doi":"10.3141/2053-01","title":"Development of Frost and Thaw Depth Predictors for Decision Making about Variable Load Restrictions","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Ministry of Transportation of Ontario; University of Waterloo","funders":"","keywords":"Environmental science; Transport engineering; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095897,0.0008793134,0.001043081,0.001713921,0.0005978784,0.001144919,0.001140414,0.0007435264,0.001469993],"category_scores_gemma":[0.007045001,0.0005578336,0.0003849453,0.001216712,0.0003412975,0.0009210352,0.0005382508,0.001241913,0.0003543732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440063,"about_ca_system_score_gemma":0.004594053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1205056,"about_ca_topic_score_gemma":0.1395459,"domain_scores_codex":[0.9996137,0.0001091747,0.00003136635,0.00009050724,0.00008024769,0.00007509026],"domain_scores_gemma":[0.9956965,0.002563907,0.0003367461,0.00009551076,0.001143301,0.0001639529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003292295,0.0003994283,0.06224806,0.00008755054,0.0001289181,0.00008536502,0.0001207453,0.6546088,0.002215614,0.001481888,0.002749505,0.275545],"study_design_scores_gemma":[0.00001126302,0.00003520438,0.004778271,0.00001247225,0.00001295896,0.000005151185,0.00003422532,0.9939247,0.0005741452,0.000334165,0.0002668641,0.00001059717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3136266,0.0006624207,0.676006,0.0008108655,0.00005227311,0.0005401611,0.001819838,0.002633845,0.003847972],"genre_scores_gemma":[0.8231326,0.0003209854,0.1729839,0.00008044242,0.00004177583,0.0002844739,0.001747662,0.00004212464,0.001366139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1205056,"threshold_uncertainty_score":0.2396083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456544425476977,"score_gpt":0.3668554514293842,"score_spread":0.2212010088816865,"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."}}