{"id":"W36930887","doi":"10.1021/acsami.3c00152","title":"2104 冷間鍛造加工用簡易皮膜潤滑剤の性能評価(G04-1 機械材料・材料加工(1),G04 機械材料・材料加工)","year":2005,"lang":"en","type":"article","venue":"年次大会講演論文集 : JSME annual meeting","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada First Research Excellence Fund; China Scholarship Council","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00008264212,0.0002853492,0.0001318794,0.0001607313,0.0001566305,0.0001426658,0.0001522785,0.00025125,0.002816795],"category_scores_gemma":[0.00004582504,0.00008923345,0.000144896,0.0001162553,0.0002122878,0.0001246459,0.0001149705,0.0002454135,0.001781673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972129,"about_ca_system_score_gemma":0.0002246727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006612953,"about_ca_topic_score_gemma":0.001178378,"domain_scores_codex":[0.9999446,0.000007420068,0.00000350649,0.00001398643,0.00001486795,0.0000156193],"domain_scores_gemma":[0.9999748,0.000002489493,0.000006128736,0.000001496254,0.000004587017,0.0000106029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001772963,0.00005583135,0.0005143005,0.00008136966,0.00001357447,0.0001453699,0.00001418337,0.0002297439,0.9844549,0.0005606253,0.0005444683,0.01320826],"study_design_scores_gemma":[0.00003637146,0.0005775662,0.003362966,0.000008940505,0.00002001643,0.0007112185,0.00003050443,0.001648132,0.9731952,0.0002331708,0.02015615,0.00001955053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446707,0.007565117,0.02147715,0.0004197581,0.0003629286,0.0001455641,0.0006856942,0.0005118718,0.02416126],"genre_scores_gemma":[0.9564155,0.002329215,0.01692113,0.0002382349,0.00004249191,0.00005066836,0.0005189996,0.00005331778,0.02343034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002816795,"threshold_uncertainty_score":0.009423137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590214616821221,"score_gpt":0.3052409150416904,"score_spread":0.2893387688734781,"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."}}