{"id":"W7146667302","doi":"","title":"降雨を考慮した積雪荷重の推定方法に関する研究","year":2017,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Roof; Span (engineering); Intensity (physics); Cooling load; Structural load","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":[0.0005360824,0.0002815663,0.0002700306,0.0002930813,0.0006183152,0.0005331071,0.0003403959,0.0003459562,0.002587625],"category_scores_gemma":[0.0003669749,0.0001893708,0.000297407,0.0003036865,0.0005399032,0.0004482664,0.0003119855,0.0003600974,0.0009666613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909229,"about_ca_system_score_gemma":0.0003684586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536752,"about_ca_topic_score_gemma":0.008665555,"domain_scores_codex":[0.9995514,0.0000530927,0.00003531569,0.00008166131,0.0002207111,0.00005793107],"domain_scores_gemma":[0.9996964,0.00005152281,0.00006285085,0.00004711857,0.0001114294,0.00003073499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001110194,0.0006721109,0.06417963,0.0004567899,0.00007331416,0.0007925659,0.0008841593,0.01289898,0.7710823,0.001083998,0.001531216,0.1452346],"study_design_scores_gemma":[0.00006968476,0.004615969,0.2179884,0.0000615929,0.0001007321,0.0008408421,0.001778435,0.04886342,0.7101705,0.001100556,0.01429164,0.0001181753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764855,0.0002653752,0.01781318,0.00005831816,0.00005547432,0.0001322068,0.0002626577,0.0001544824,0.004772597],"genre_scores_gemma":[0.9777655,0.0003164647,0.01828742,0.00004306627,0.00001665675,0.00008270171,0.0002747053,0.00001862029,0.003194861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002587625,"threshold_uncertainty_score":0.008656442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689605493875773,"score_gpt":0.2531671105709118,"score_spread":0.2362710556321541,"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."}}