{"id":"W2966486428","doi":"","title":"一目でわかるクリニカルレシピ：「CAR-T細胞療法の食事」","year":2018,"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":[0.0009082694,0.0004530257,0.0003518706,0.0006524356,0.001427397,0.002723661,0.0006292996,0.001260129,0.02392866],"category_scores_gemma":[0.001304446,0.0003007482,0.0005733261,0.0004456373,0.002098567,0.001849345,0.000873401,0.001740409,0.00924554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176847,"about_ca_system_score_gemma":0.002397163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004211814,"about_ca_topic_score_gemma":0.002704979,"domain_scores_codex":[0.9992342,0.00009548279,0.00002890011,0.0001487909,0.0003445847,0.0001479902],"domain_scores_gemma":[0.9992436,0.0001174308,0.00007378055,0.0000831002,0.0003897279,0.00009236654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006652115,0.0005029034,0.005785278,0.0007877193,0.0001355621,0.001160529,0.001500127,0.003913108,0.1210025,0.4753743,0.02478785,0.364385],"study_design_scores_gemma":[0.0000735812,0.00123334,0.005261255,0.0001631583,0.0001457443,0.002448483,0.002157147,0.006978591,0.2594154,0.0785348,0.6434501,0.0001382909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1275767,0.01197171,0.08041751,0.008977967,0.002463639,0.0005551847,0.0004306466,0.0007816751,0.766825],"genre_scores_gemma":[0.7040402,0.005752974,0.02612664,0.00302536,0.0005546092,0.0001965571,0.0002720613,0.0001388937,0.2598927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02392866,"threshold_uncertainty_score":0.0800494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742130469609386,"score_gpt":0.2662422923256976,"score_spread":0.2488209876296037,"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."}}