{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046483,0.00028194,0.000237847,0.000726291,0.001923502,0.003221371,0.0004287096,0.000899383,0.01516035],"category_scores_gemma":[0.001954861,0.0002488465,0.0002960655,0.0004577063,0.002941614,0.001447123,0.0007954191,0.001456949,0.005349902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513839,"about_ca_system_score_gemma":0.002283593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003852934,"about_ca_topic_score_gemma":0.002449483,"domain_scores_codex":[0.9993512,0.00008912935,0.00004212682,0.0001332483,0.0002985045,0.0000857003],"domain_scores_gemma":[0.9988093,0.0002512934,0.0001507704,0.0001301893,0.0005032927,0.0001552117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002217053,0.000210973,0.006422224,0.0004436049,0.00006479301,0.0007039032,0.003307781,0.001575944,0.03483635,0.7653167,0.01773478,0.1691613],"study_design_scores_gemma":[0.00004604432,0.0005567626,0.01557418,0.0002698964,0.00009258145,0.001330105,0.005334998,0.002343461,0.07859878,0.2259599,0.6697646,0.0001287579],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.09336182,0.007860256,0.04477049,0.008095881,0.002324539,0.0003100535,0.000311111,0.0002050137,0.8427607],"genre_scores_gemma":[0.6283379,0.005810531,0.02153124,0.002956379,0.0008736356,0.0001790162,0.0002170489,0.00006503782,0.3400293],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01516035,"threshold_uncertainty_score":0.0507164,"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."}}