{"id":"W1723068","doi":"10.1128/jcm.29.11.2368-2374.1991","title":"急成長企業の破綻と復活(その1) : アージェンティの所説から見る永大産業のケース","year":2006,"lang":"en","type":"article","venue":"福岡大学商学論叢","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001550532,0.0001751914,0.0001128533,0.0001371851,0.0001837676,0.0003960968,0.00008258839,0.0002149324,0.002603136],"category_scores_gemma":[0.0002135261,0.00008251124,0.0001553172,0.0002165102,0.0002679803,0.0001157518,0.0001616402,0.0002141773,0.001170252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513938,"about_ca_system_score_gemma":0.0002149892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773248,"about_ca_topic_score_gemma":0.001735295,"domain_scores_codex":[0.9998758,0.00001312079,0.00001132097,0.00003667611,0.00002878963,0.00003424616],"domain_scores_gemma":[0.9999074,0.00001006919,0.00003388756,0.000007326254,0.00002580701,0.00001551441],"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":[0.0008867986,0.0001793589,0.1652563,0.0002666866,0.00006464078,0.0009546481,0.0005725849,0.000378375,0.7403969,0.0007337488,0.001259893,0.08905023],"study_design_scores_gemma":[0.00005179948,0.001518936,0.6741234,0.00008396099,0.0001289083,0.003749618,0.0008958786,0.0008842945,0.2851533,0.0005078231,0.03287346,0.00002861111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918298,0.001099814,0.002829437,0.0001357131,0.00003587403,0.00005799626,0.0003896673,0.00002797264,0.003593772],"genre_scores_gemma":[0.9887847,0.0009057598,0.004885651,0.0001178653,0.00002596143,0.00003316248,0.00093257,0.000008088466,0.0043064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002603136,"threshold_uncertainty_score":0.008708358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004749949200884051,"score_gpt":0.2456648026235235,"score_spread":0.2409148534226394,"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."}}