{"id":"W27567959","doi":"10.1016/j.tranon.2016.07.001","title":"山口県萩市における地域資源の有効利用と道の駅萩しーまーと--地域振興と水産業 ([地域漁業学会]第50回ミニシンポジウム 山口県萩市における地域資源の有効利用と道の駅萩しーまーと--地域振興と水産業)","year":2009,"lang":"en","type":"article","venue":"地域漁業研究","topic":"Telomeres, Telomerase, and Senescence","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":[0.0004887785,0.0001628904,0.0001806525,0.000525182,0.0003404276,0.0004494114,0.0001343654,0.0002251236,0.002385153],"category_scores_gemma":[0.0004078979,0.000182786,0.0002334228,0.0002645171,0.0005188709,0.0002097217,0.0001887309,0.0003712031,0.0007457081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005074022,"about_ca_system_score_gemma":0.0003209173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920551,"about_ca_topic_score_gemma":0.003661486,"domain_scores_codex":[0.9998358,0.00002283021,0.00001516342,0.00005350948,0.00004310607,0.00002948563],"domain_scores_gemma":[0.9997786,0.00006771177,0.00004050197,0.00002841637,0.00005303345,0.00003180131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002177211,0.00003561518,0.01166991,0.00007600898,0.00003588445,0.0001793121,0.000227959,0.0003753544,0.9674769,0.0007661725,0.0001307854,0.01880831],"study_design_scores_gemma":[0.00002810497,0.0005514084,0.1007207,0.00003627016,0.00007820343,0.001867191,0.0003479435,0.003916619,0.8820617,0.001444093,0.008911769,0.00003597843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9722858,0.001580085,0.02074316,0.00009478624,0.00002973445,0.00005014022,0.0004647783,0.00009842928,0.004653028],"genre_scores_gemma":[0.9810135,0.000618415,0.01532236,0.00003313891,0.00001090425,0.00004906453,0.0004176272,0.0000202205,0.002514855],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002385153,"threshold_uncertainty_score":0.007979095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267994139164651,"score_gpt":0.2807032299498344,"score_spread":0.2680232885581879,"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."}}