{"id":"W2757383785","doi":"10.3130/aijs.82.1329","title":"STUDY ON ESTIMATION METHOD FOR SURCHARGE SNOW LOAD DUE TO RAINFALL","year":2017,"lang":"en","type":"article","venue":"Journal of Structural and Construction Engineering (Transactions of AIJ)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Roof; Hydrology (agriculture); Meteorology; Geotechnical engineering; Geology; Structural engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257227,0.0006934223,0.0005928681,0.001636956,0.0003107266,0.0008028842,0.0008089988,0.0005159963,0.001148335],"category_scores_gemma":[0.003368306,0.0003615075,0.0005845911,0.0009671708,0.0002570724,0.001145895,0.0005021967,0.0004936201,0.0005426425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543068,"about_ca_system_score_gemma":0.0003192468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092853,"about_ca_topic_score_gemma":0.002382919,"domain_scores_codex":[0.9986143,0.0002417957,0.00008606646,0.0002914538,0.0006874291,0.00007887177],"domain_scores_gemma":[0.9982989,0.0007288016,0.0001738743,0.0001266314,0.0006280099,0.00004382938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000903715,0.0003024912,0.08038237,0.001385288,0.0002331945,0.001021994,0.001017114,0.1473564,0.1462469,0.003421216,0.003236162,0.6144932],"study_design_scores_gemma":[0.00003055368,0.000298344,0.02473795,0.00005163638,0.00008840664,0.0003822058,0.000373874,0.9340365,0.0363758,0.0008706189,0.002675854,0.00007831968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.234721,0.001086054,0.758347,0.0001512412,0.0002256433,0.0002260068,0.0002336058,0.001171447,0.003838092],"genre_scores_gemma":[0.8781679,0.001023871,0.1172936,0.00005318763,0.0001015826,0.0001732031,0.0002692968,0.00008194109,0.002835271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003092853,"threshold_uncertainty_score":0.006648898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834159946544968,"score_gpt":0.2583705508724117,"score_spread":0.240028951406962,"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."}}