{"id":"W2595055699","doi":"","title":"エビデンスに基づく機能性食品の現況と展望 II 機能性食品の糖尿病におけるエビデンス","year":2014,"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":[0.0007477694,0.0005158628,0.0005883648,0.0002408529,0.0003994502,0.00002863618,0.000822202,0.0005542898,0.005731542],"category_scores_gemma":[0.0002836177,0.0005208687,0.0001844846,0.00037006,0.0004278682,0.0002576908,0.0002237762,0.001274831,0.001441516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006713701,"about_ca_system_score_gemma":0.00006265828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000504161,"about_ca_topic_score_gemma":0.00001828232,"domain_scores_codex":[0.9973075,0.0001316233,0.0006098746,0.0005379497,0.0004718768,0.0009411079],"domain_scores_gemma":[0.998499,0.0002151429,0.00007774362,0.0007586256,0.00005468796,0.000394838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001917052,0.000779438,0.001094239,0.001909322,0.0016112,0.0003491259,0.008787972,0.001610111,0.014159,0.1896379,0.3706063,0.4092637],"study_design_scores_gemma":[0.002845391,0.0005111845,0.001177078,0.000294424,0.0003250985,0.0001199656,0.0005983729,0.06887868,0.004747043,0.01780374,0.9014974,0.001201618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.214744,0.02059094,0.004745779,0.00945076,0.008204803,0.0007041073,0.00008507889,0.003420971,0.7380536],"genre_scores_gemma":[0.9932795,0.002351721,0.0006238837,0.0006623248,0.001160408,0.00004972556,0.00003131003,0.00007857817,0.001762605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7785354,"threshold_uncertainty_score":0.9997243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287860024358048,"score_gpt":0.2466082206405832,"score_spread":0.2337296203970028,"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."}}