{"id":"W25970345","doi":"10.1371/journal.pone.0125315","title":"2009年台風9号水害と史料救済 : 佐用町での動き ( 風水害から歴史資料を救う : 2009年台風9号被害をめぐって)","year":2010,"lang":"en","type":"article","venue":"Link : 地域・大学・文化 : 神戸大学大学院人文学研究科地域連携センター年報","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","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":[0.0002761608,0.0006589313,0.000339957,0.0003246094,0.0006567989,0.001495121,0.0004266587,0.001101434,0.05083038],"category_scores_gemma":[0.0001624688,0.0002538351,0.0002433737,0.0002143992,0.0008181655,0.0005070258,0.0004013618,0.001255172,0.01907376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421205,"about_ca_system_score_gemma":0.0004716381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008018742,"about_ca_topic_score_gemma":0.001470747,"domain_scores_codex":[0.9998512,0.00001888152,0.00001326916,0.0000415533,0.00003456316,0.00004047322],"domain_scores_gemma":[0.9999027,0.000008804484,0.0000183914,0.000007035826,0.00002458374,0.00003846279],"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":[0.003762956,0.0006761213,0.002788965,0.002247023,0.00009868087,0.002001341,0.000221614,0.001432164,0.5361873,0.01798819,0.07314119,0.3594545],"study_design_scores_gemma":[0.0001966854,0.001463451,0.01812545,0.000232192,0.00007936779,0.005368875,0.0002486194,0.001343383,0.2072566,0.003557018,0.7620624,0.00006585778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4556281,0.1185989,0.01345749,0.01924208,0.0177216,0.001089436,0.004875914,0.001458355,0.3679281],"genre_scores_gemma":[0.3912222,0.03318528,0.006884529,0.001941125,0.003113623,0.0002534375,0.003857592,0.0001323867,0.5594098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05083038,"threshold_uncertainty_score":0.1700445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009332239495438283,"score_gpt":0.257635113668402,"score_spread":0.2483028741729637,"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."}}