{"id":"W1977579449","doi":"10.4028/www.scientific.net/amr.671-674.565","title":"Snow Distribution on Low-Rise Roofs and Practical Analysis Method","year":2013,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Heilongjiang University","keywords":"Snow; China; Environmental science; Distribution (mathematics); Civil engineering; Meteorology; Forensic engineering; Geography; Engineering; Mathematics","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":[],"category_scores_codex":[0.0008604308,0.00009356959,0.0002081017,0.0000521016,0.0003573113,0.0001812914,0.00007518476,0.00004900376,0.005993043],"category_scores_gemma":[0.0008000834,0.00007025558,0.00003006911,0.000668876,0.00009942071,0.0002818898,0.00003604284,0.0001216138,0.0003922575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001033851,"about_ca_system_score_gemma":0.00002195407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324626,"about_ca_topic_score_gemma":0.0004690102,"domain_scores_codex":[0.9984725,0.0002941715,0.0001888261,0.0002965169,0.0003678226,0.0003802189],"domain_scores_gemma":[0.9983702,0.001074091,0.00004237902,0.0002086021,0.0001783588,0.0001263098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001563844,0.0005432333,0.1783315,0.0003008377,0.001523616,0.0001396889,0.001089553,0.02109527,0.07412764,0.01045282,0.03392958,0.6769024],"study_design_scores_gemma":[0.0002901065,0.0002398572,0.9729905,0.00001676186,0.00004298104,0.000003142613,0.0006238288,0.004340371,0.00827814,0.002542465,0.01046061,0.0001712007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924048,0.0001612467,0.004141801,0.001985794,0.000131012,0.0003502256,0.0002192211,0.00002705891,0.000578885],"genre_scores_gemma":[0.9897919,0.0004551956,0.008821237,0.00007829657,0.0000848768,0.00002485558,0.0003120043,0.000003343474,0.0004282757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.794659,"threshold_uncertainty_score":0.9949156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971203306367198,"score_gpt":0.3861462854883992,"score_spread":0.3264342524247273,"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."}}