{"id":"W22363571","doi":"10.1371/journal.pone.0031176","title":"9176 文献資料に見る静岡県中部地方の製茶工場の変遷(日本近代・近代化遺産(2),建築歴史・意匠)","year":2004,"lang":"ja","type":"article","venue":"学術講演梗概集. F-2, 建築歴史・意匠","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0002022594,0.0003154961,0.0001391817,0.00024285,0.0004067692,0.0005685802,0.0001968705,0.0004325966,0.01253688],"category_scores_gemma":[0.000209178,0.0001602847,0.000187181,0.0001335278,0.0006296904,0.0004493459,0.0002907055,0.000657569,0.005144343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008143806,"about_ca_system_score_gemma":0.0003924799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166179,"about_ca_topic_score_gemma":0.002942965,"domain_scores_codex":[0.9998806,0.00001146347,0.000006842586,0.00002898965,0.00003293682,0.0000393442],"domain_scores_gemma":[0.9999032,0.00001732055,0.00001267631,0.000009328226,0.00001282598,0.00004459837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004040837,0.00009904413,0.001696737,0.0001235304,0.000024556,0.0008260628,0.00009430169,0.0003989823,0.9569032,0.004522614,0.001590023,0.03331687],"study_design_scores_gemma":[0.00008491987,0.0003158742,0.01206082,0.0000247345,0.00002104297,0.002554882,0.0001470848,0.001239248,0.921721,0.00202728,0.0597776,0.00002539811],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647505,0.004541898,0.0116284,0.001440305,0.0003654951,0.00008337203,0.0007596106,0.0003447488,0.1160857],"genre_scores_gemma":[0.9026765,0.001244641,0.008136272,0.000345305,0.00004962408,0.00004028542,0.0009001168,0.00006417382,0.08654308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253688,"threshold_uncertainty_score":0.04194003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005627727990385337,"score_gpt":0.2273314161275783,"score_spread":0.2217036881371929,"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."}}