{"id":"W2743071174","doi":"","title":"プリオン病:その実態に迫る 動物のプリオン病~スクレイピー,牛海綿状脳症,慢性消耗病~","year":2017,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006356819,0.0005692785,0.0006484838,0.0001910264,0.0009942293,0.0001918062,0.001959487,0.000647374,0.005763932],"category_scores_gemma":[0.0004536654,0.0005782221,0.0002288595,0.0001132684,0.001077536,0.0005892569,0.0003513712,0.001517869,0.002174827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008561859,"about_ca_system_score_gemma":0.0001209143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000189212,"about_ca_topic_score_gemma":0.00004999158,"domain_scores_codex":[0.9971607,0.00007262497,0.0006061008,0.0006157251,0.0005128186,0.00103198],"domain_scores_gemma":[0.9973618,0.0001387964,0.0001861417,0.001813506,0.0000660268,0.0004337273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004632983,0.0009651885,0.009772557,0.003592432,0.004069163,0.005608168,0.0105042,0.000660539,0.02046233,0.1181524,0.5177408,0.308009],"study_design_scores_gemma":[0.008484997,0.0005399047,0.01868891,0.001286599,0.001078959,0.0004952411,0.002466481,0.04741022,0.0170316,0.03983723,0.8591654,0.003514418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2488165,0.03087262,0.0009056703,0.01694459,0.01243862,0.0008418757,0.0002175693,0.002124683,0.6868379],"genre_scores_gemma":[0.9887925,0.006364734,0.000458314,0.0002831608,0.001218557,0.00004933693,0.00002573597,0.00008456087,0.00272305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.739976,"threshold_uncertainty_score":0.9996669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388063563345101,"score_gpt":0.2831049655504125,"score_spread":0.2592243299169615,"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."}}