{"id":"W24100580","doi":"10.3892/ijo.2013.2131","title":"3P-147 自己凝集性細菌の分離とそのUV不活化特性(環境工学,廃水処理技術,一般講演)","year":2013,"lang":"en","type":"article","venue":"日本生物工学会大会講演要旨集","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","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":[0.0002972916,0.001003423,0.0005137831,0.0006050233,0.001006635,0.0006748411,0.0006268289,0.00128567,0.06453294],"category_scores_gemma":[0.0002965392,0.0003635036,0.0007433167,0.0004947527,0.0007232719,0.0004288063,0.0007372894,0.001878455,0.02515389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009650178,"about_ca_system_score_gemma":0.0008480735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319142,"about_ca_topic_score_gemma":0.00173637,"domain_scores_codex":[0.9996682,0.00004362323,0.00001616139,0.0001167868,0.00008272725,0.00007250101],"domain_scores_gemma":[0.9998291,0.00004503712,0.00002782309,0.00002799193,0.00002752717,0.00004254443],"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":[0.0008030711,0.0001283626,0.0003431621,0.0001796635,0.000029376,0.001171452,0.00009878122,0.0001767298,0.9633189,0.005013798,0.004183512,0.02455311],"study_design_scores_gemma":[0.0002814741,0.0004800107,0.00502135,0.00005552872,0.00004990324,0.00325837,0.0001727801,0.001158675,0.7595142,0.003044859,0.2269285,0.0000344834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5153523,0.01087854,0.1609982,0.006406983,0.00326213,0.001628118,0.03175656,0.00561991,0.2640972],"genre_scores_gemma":[0.6037167,0.003198283,0.05855019,0.0015081,0.000274456,0.001072644,0.03977016,0.0008368397,0.2910726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06453294,"threshold_uncertainty_score":0.2158841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008333091150048946,"score_gpt":0.2278327552367929,"score_spread":0.2194996640867439,"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."}}