{"id":"W3191970164","doi":"","title":"エビデンスに基づく機能性食品の現況と展望 I 北海道フード特区の試み~北海道食品機能性表示制度に中心に~","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":[0.0007944974,0.0005323754,0.0006116248,0.0002453133,0.0002263956,0.0000402546,0.0008454895,0.0005607349,0.005721641],"category_scores_gemma":[0.0002832708,0.0005393427,0.0001918915,0.0003951311,0.0004632283,0.000272495,0.0001401127,0.001303798,0.00262247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007442971,"about_ca_system_score_gemma":0.00006515683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004889297,"about_ca_topic_score_gemma":0.00002684379,"domain_scores_codex":[0.9971871,0.0001582879,0.0006346637,0.0005595965,0.000487977,0.000972343],"domain_scores_gemma":[0.9983486,0.0003054827,0.00008015589,0.0007918513,0.00005752667,0.0004163866],"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":[0.0001895982,0.0006220794,0.001970806,0.002566197,0.001673341,0.0004600545,0.006035732,0.002231736,0.01256917,0.217687,0.4410946,0.3128997],"study_design_scores_gemma":[0.002784442,0.0003239575,0.001361639,0.0003554376,0.0003503401,0.0001402717,0.0007803517,0.08501738,0.0053619,0.02099657,0.8811864,0.00134135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09434997,0.02143014,0.006070233,0.006561284,0.007831736,0.0005743043,0.00006994517,0.002985306,0.8601271],"genre_scores_gemma":[0.9929206,0.002455853,0.000781108,0.0006256073,0.001207679,0.00004517466,0.00003295923,0.00008538912,0.001845663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8985706,"threshold_uncertainty_score":0.9997058,"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."}}