{"id":"W3167575427","doi":"","title":"WICプログラムに参加する妊婦の食事の質を評価するためのHEI-2015の使用【JST・京大機械翻訳】","year":2020,"lang":"ja","type":"article","venue":"Journal of Nutrition Education and Behavior","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":[],"consensus_categories":[],"category_scores_codex":[0.0001504063,0.0002164257,0.0003558482,0.0002305627,0.000103517,0.00006906401,0.0001870993,0.0002893906,0.0004426471],"category_scores_gemma":[0.0000585197,0.0002209993,0.0001416612,0.0002702904,0.0001096442,0.0004888473,0.00001965121,0.0006420502,0.00003512862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006347236,"about_ca_system_score_gemma":0.000163036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005674316,"about_ca_topic_score_gemma":0.000002318734,"domain_scores_codex":[0.9987168,0.00005438211,0.0006664942,0.0001644375,0.0002009546,0.0001969853],"domain_scores_gemma":[0.9990484,0.00003806768,0.0002266968,0.0001257193,0.0002720536,0.0002891384],"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":[0.0005961718,0.04929327,0.02311852,0.007044117,0.0007828965,0.0004770691,0.02720814,0.0001748329,0.1119247,0.02650456,0.3847699,0.3681058],"study_design_scores_gemma":[0.01302941,0.007868038,0.3330665,0.003704277,0.005224485,0.005743613,0.1674162,0.001255609,0.01550734,0.012941,0.4309644,0.003279109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603549,0.02461293,0.0001879814,0.01066788,0.00235471,0.0003179264,0.00003387252,0.00007609506,0.001393672],"genre_scores_gemma":[0.989895,0.005534155,0.002771368,0.0004058541,0.001224009,0.0000322864,0.00001369477,0.00002384832,0.00009974047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3648267,"threshold_uncertainty_score":0.9012089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907399700579472,"score_gpt":0.267905378064646,"score_spread":0.2488313810588513,"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."}}