{"id":"W2600973014","doi":"","title":"冷凍カロリー調整惣菜セット（気くばり御膳）を用いた食事療法指導の有用性について","year":2008,"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":[0.00135986,0.0003410662,0.0002906249,0.0007969961,0.002140029,0.002596188,0.0003926829,0.0007566289,0.01872102],"category_scores_gemma":[0.003084221,0.0002811873,0.0003457263,0.0003977701,0.003850931,0.001531644,0.0008056213,0.001329675,0.006143458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313181,"about_ca_system_score_gemma":0.002167991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005662574,"about_ca_topic_score_gemma":0.004967168,"domain_scores_codex":[0.9987392,0.000175004,0.00007507166,0.0002163424,0.0006525254,0.0001418282],"domain_scores_gemma":[0.9977493,0.000807699,0.000220706,0.0002501363,0.0008044615,0.0001675744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003067119,0.0002366709,0.006478146,0.0004605875,0.0000965099,0.001155513,0.004244132,0.002274535,0.04089594,0.5780115,0.02531508,0.3405247],"study_design_scores_gemma":[0.00007194678,0.0004959198,0.02634862,0.0003042044,0.0001962547,0.002832963,0.007305821,0.003471688,0.110552,0.3413003,0.5069394,0.0001809988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1237161,0.005631255,0.03853297,0.008825303,0.001124922,0.0001818299,0.0004660969,0.0003184699,0.8212031],"genre_scores_gemma":[0.8106641,0.004844713,0.02736412,0.001906819,0.0008960144,0.0001604495,0.000321817,0.0001263627,0.1537156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01872102,"threshold_uncertainty_score":0.06262803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199174474513095,"score_gpt":0.2525828626005497,"score_spread":0.2305911178554187,"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."}}