{"id":"W3029839648","doi":"","title":"エビデンスに基づく機能性食品の現況と展望 I 機能性食品の安全性:薬物との相互作用","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":[0.0007261898,0.0004853029,0.0005559954,0.0002273678,0.0002066171,0.00003694019,0.0007794992,0.0005224229,0.00550874],"category_scores_gemma":[0.000296346,0.0004900672,0.0001715585,0.0003662123,0.0004243256,0.0002474481,0.0001304778,0.001218144,0.002394749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006680287,"about_ca_system_score_gemma":0.0000597912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006474549,"about_ca_topic_score_gemma":0.00002274497,"domain_scores_codex":[0.9974278,0.0001412212,0.00057765,0.000511624,0.0004484792,0.0008932293],"domain_scores_gemma":[0.9984967,0.0002690792,0.00007198783,0.0007288536,0.00005273995,0.0003806901],"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":[0.0001803144,0.0006305983,0.002472535,0.002536004,0.001690646,0.0004824653,0.006593214,0.002028941,0.01350544,0.2341198,0.4235297,0.3122303],"study_design_scores_gemma":[0.003261421,0.0003775907,0.001968146,0.0004004811,0.000395258,0.00015535,0.0009276341,0.09808574,0.005392534,0.02570882,0.8618034,0.001523669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1097685,0.02289725,0.006765948,0.007057474,0.008410062,0.0005859109,0.00007241083,0.00307556,0.8413669],"genre_scores_gemma":[0.9932705,0.002808306,0.0007284132,0.000613205,0.001124995,0.00003977654,0.00003221363,0.00007641314,0.001306211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.883502,"threshold_uncertainty_score":0.9997551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331822220946167,"score_gpt":0.2485416741774651,"score_spread":0.2352234519680034,"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."}}