{"id":"W2726524558","doi":"","title":"機能性食品の定義（概念）と概念に基づいた分類","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":[0.001239006,0.0002504077,0.0002006434,0.0006862528,0.001767199,0.002572733,0.0003813072,0.0008299992,0.01568828],"category_scores_gemma":[0.002146089,0.0001691422,0.0002574742,0.0003826536,0.002998277,0.001334689,0.0007762386,0.001124606,0.005002344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632817,"about_ca_system_score_gemma":0.002921191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652358,"about_ca_topic_score_gemma":0.004190131,"domain_scores_codex":[0.9990819,0.000124262,0.00005136489,0.0001400875,0.0004938854,0.0001085454],"domain_scores_gemma":[0.9982748,0.0003888441,0.0001844638,0.0001639968,0.0007694542,0.0002184399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001916281,0.0003128737,0.01069223,0.0004538562,0.00006630966,0.0009079262,0.003610358,0.001239651,0.03133866,0.5977511,0.02417823,0.3292572],"study_design_scores_gemma":[0.00004015299,0.0005731678,0.02698328,0.0002946012,0.0001109,0.002361398,0.006525056,0.001924483,0.07676721,0.1905709,0.693724,0.0001248418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1138722,0.005874379,0.03257764,0.01088112,0.001330368,0.0002127524,0.0002811547,0.0002491824,0.8347211],"genre_scores_gemma":[0.7409298,0.004909236,0.02020509,0.003209824,0.0007501759,0.0001107681,0.0001637223,0.00006186119,0.2296596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01568828,"threshold_uncertainty_score":0.05248249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336018377594647,"score_gpt":0.2487507868395274,"score_spread":0.2353906030635809,"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."}}