{"id":"W6312930","doi":"10.1007/bf01311201","title":"225 自動車運搬船の車両甲板に溶接により発生する座屈変形の予測(溶接変形(II),平成19年度秋季全国大会)","year":2007,"lang":"en","type":"article","venue":"溶接学会全国大会講演概要","topic":"Herpesvirus Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0002236984,0.0001830427,0.00009713152,0.0002753214,0.000445281,0.0005161728,0.0001490167,0.0002438958,0.006308527],"category_scores_gemma":[0.000229023,0.000145589,0.0001425974,0.0001833996,0.0005989647,0.0001440461,0.0001284583,0.0003510769,0.001520428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314078,"about_ca_system_score_gemma":0.0009341438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03191388,"about_ca_topic_score_gemma":0.06859535,"domain_scores_codex":[0.9998235,0.00001925431,0.00000857021,0.00002237491,0.00007342975,0.00005291409],"domain_scores_gemma":[0.9998512,0.00002007289,0.0000297377,0.000009659069,0.00004869205,0.00004058205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008473743,0.0002243397,0.06700865,0.0003145562,0.00008930796,0.001127077,0.0010491,0.0006107388,0.8012214,0.002819622,0.002679244,0.1220086],"study_design_scores_gemma":[0.00007323686,0.001756848,0.5143299,0.0001434986,0.0001714065,0.004492936,0.002262439,0.001755377,0.3887341,0.002375704,0.08385984,0.00004479899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561557,0.003871291,0.005130515,0.000466159,0.00007334007,0.0001555149,0.000417994,0.0001167778,0.03361278],"genre_scores_gemma":[0.9770084,0.001426692,0.004210504,0.00021221,0.00002691489,0.00002817693,0.0006344189,0.00001178875,0.01644079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03191388,"threshold_uncertainty_score":0.06345624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014818059077413,"score_gpt":0.3188763631613746,"score_spread":0.3040583040839616,"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."}}