{"id":"W2738575420","doi":"","title":"養子免疫T細胞療法：TIL,TCR／CAR-T","year":2016,"lang":"en","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":"T-cell receptor; Computer science; Biology; Genetics","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":[0.0003283222,0.000415574,0.0002479543,0.0003007981,0.0006407166,0.001971432,0.0004102073,0.0008630579,0.02113788],"category_scores_gemma":[0.0006034867,0.0002741978,0.0003526398,0.000221515,0.0006181673,0.0009643128,0.0005278901,0.001633364,0.006976542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000858516,"about_ca_system_score_gemma":0.0006235428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008013193,"about_ca_topic_score_gemma":0.0008166925,"domain_scores_codex":[0.9995947,0.00004635602,0.00001778007,0.000119335,0.00009760702,0.000124174],"domain_scores_gemma":[0.9998141,0.00003497108,0.00003311548,0.00002216665,0.00005644726,0.00003918084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006439386,0.0002484895,0.006053947,0.0007785808,0.0001465549,0.001314881,0.0009746634,0.00344122,0.7354277,0.07281855,0.01572551,0.162426],"study_design_scores_gemma":[0.0001644599,0.001403869,0.00730219,0.0001618294,0.0003039393,0.005941303,0.001932362,0.004628956,0.455828,0.02585102,0.4964116,0.00007040428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5389696,0.031943,0.06627814,0.00732715,0.003111209,0.000540136,0.0008760715,0.001156927,0.3497978],"genre_scores_gemma":[0.9048939,0.003546051,0.006971137,0.001315116,0.0003039509,0.0001282794,0.0003084846,0.00009660012,0.08243647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02113788,"threshold_uncertainty_score":0.07071322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353616213886058,"score_gpt":0.2432763213261084,"score_spread":0.2297401591872478,"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."}}