{"id":"W2921829772","doi":"","title":"悪性リンパ腫・慢性リンパ性白血病に対するCAR-T細胞療法","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":[0.0006334791,0.0002822579,0.0002371109,0.0005693861,0.001528546,0.002058271,0.0004242348,0.0006819405,0.01494848],"category_scores_gemma":[0.00113925,0.0001622081,0.0004022054,0.0004188664,0.002135518,0.001406283,0.0007474219,0.00120295,0.004438754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220414,"about_ca_system_score_gemma":0.002408644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265259,"about_ca_topic_score_gemma":0.002126957,"domain_scores_codex":[0.9994165,0.00008369968,0.00003267995,0.000130437,0.0002186818,0.0001180834],"domain_scores_gemma":[0.9991421,0.0001372829,0.00009892575,0.00007267962,0.0003903511,0.0001586155],"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":[0.0005534921,0.0004842309,0.01122692,0.0007478399,0.0001249837,0.001695029,0.003589659,0.00230116,0.1511866,0.5144986,0.02168409,0.2919075],"study_design_scores_gemma":[0.00008449229,0.001383958,0.0163383,0.0001855624,0.0001533265,0.003364434,0.005833765,0.004841882,0.2430036,0.2074935,0.5171457,0.0001715695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2243562,0.007158273,0.06393612,0.00689195,0.002282543,0.0003752015,0.0004280882,0.0005269707,0.6940446],"genre_scores_gemma":[0.8289738,0.00318136,0.02077978,0.001464818,0.0006107076,0.0001537225,0.0002219843,0.0001046373,0.1445093],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01494848,"threshold_uncertainty_score":0.0500077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739490474664046,"score_gpt":0.2664224847013513,"score_spread":0.2490275799547109,"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."}}