{"id":"W3191133997","doi":"","title":"牛乳カートンに関するP107ナツメヤシラベル:若い成人はそれを得るか?【JST・京大機械翻訳】","year":2019,"lang":"ja","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Military Technology and Strategies","field":"Engineering","cited_by":2,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002359637,0.0002121281,0.0003577329,0.0004343728,0.00007915643,0.00007343909,0.0001747591,0.0003251773,0.00107163],"category_scores_gemma":[0.00002253234,0.0002123969,0.0001459849,0.0002240102,0.00007788275,0.000540637,0.00001692582,0.0005843571,0.0001043147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041016,"about_ca_system_score_gemma":0.0001586924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009841452,"about_ca_topic_score_gemma":0.000003995789,"domain_scores_codex":[0.9986904,0.00005008794,0.0006758785,0.0001613521,0.0002078751,0.0002144298],"domain_scores_gemma":[0.9990675,0.0000474054,0.0002487822,0.0002079139,0.0002804284,0.0001480025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005241548,0.08863746,0.1520135,0.00960581,0.0008931663,0.0002567935,0.01306564,0.0002360545,0.1626201,0.05709019,0.1396023,0.3754548],"study_design_scores_gemma":[0.008870432,0.003831964,0.6774376,0.004277324,0.002155395,0.006307633,0.08302372,0.0003680493,0.00643572,0.01317944,0.19211,0.002002734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763245,0.01470838,0.00002899523,0.001163512,0.004318069,0.0003441164,0.00001891757,0.0000436267,0.003049909],"genre_scores_gemma":[0.9915037,0.004846212,0.001769359,0.00008730841,0.0005975532,0.00003255346,0.00001418343,0.0000230603,0.001126073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5254241,"threshold_uncertainty_score":0.9998415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039379120604243,"score_gpt":0.2608398757992295,"score_spread":0.2504460845931871,"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."}}