{"id":"W4390679371","doi":"10.18609/cgti.2023.178","title":"Enabling patient access to CAR-T cell therapy in India","year":2023,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001335873,0.0001285267,0.000191636,0.000278093,0.00008192592,0.00003536295,0.00007651433,0.0001687385,0.00004740783],"category_scores_gemma":[0.000002722423,0.00008509669,0.00003907452,0.00060769,0.00007556309,0.00004952628,0.00004105758,0.0001830253,0.00002331608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004052,"about_ca_system_score_gemma":0.00006481176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005576412,"about_ca_topic_score_gemma":0.000009098254,"domain_scores_codex":[0.99905,0.00004212103,0.0002031719,0.0002571389,0.0002375786,0.0002099739],"domain_scores_gemma":[0.999522,0.00004211144,0.00004074839,0.0001686548,0.00004965322,0.0001768582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004921118,0.000343045,0.002090567,0.0000762296,0.00002858298,0.00009863325,0.02032998,0.00005593668,0.6699653,0.00007504119,0.0009339792,0.3055106],"study_design_scores_gemma":[0.004566821,0.001318721,0.1154189,0.00007658029,0.000007197351,0.000004159634,0.000417386,0.0003761672,0.7585485,0.00240494,0.1165587,0.0003019018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921743,0.004155701,0.00001845248,0.001687432,0.000222696,0.0004542081,0.000001781934,0.0000461514,0.001239242],"genre_scores_gemma":[0.983294,0.01306077,0.00005049172,0.002936646,0.000145157,0.00002553665,0.00003628414,0.00001917281,0.0004319402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3052087,"threshold_uncertainty_score":0.3470142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822987937315814,"score_gpt":0.2929378275758596,"score_spread":0.2547079482027015,"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."}}