{"id":"W2028133066","doi":"10.1158/2159-8290.cd-13-0064","title":"Hit Parade for Adoptive Cell Transfer Therapy: The Best T Cells for Superior Clinical Responses","year":2013,"lang":"en","type":"letter","venue":"Cancer Discovery","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Adoptive cell transfer; Parade; Cell therapy; Cancer; Cancer therapy; Medicine; Cell; Computational biology; Computer science; Biology; T cell; Immunology; Internal medicine; Political science; Genetics; Immune system","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007303245,0.0006685675,0.001292648,0.0001553563,0.0002181992,0.0002523042,0.0006605277,0.001161267,0.002755529],"category_scores_gemma":[0.00006937127,0.0004232877,0.001541333,0.0001741195,0.0006902626,0.0002114759,0.00005129965,0.00219594,0.00007073507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622729,"about_ca_system_score_gemma":0.001798594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269779,"about_ca_topic_score_gemma":0.00002666808,"domain_scores_codex":[0.9959733,0.0003612962,0.0008199641,0.001069795,0.0006859059,0.001089759],"domain_scores_gemma":[0.9946353,0.00355889,0.0001288142,0.00117777,0.000331075,0.0001681137],"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":[0.00954832,0.000223892,0.0002804143,0.0006436859,0.000763643,0.00004267671,0.0004100243,0.000003292537,0.01908268,0.000008356045,0.957087,0.01190603],"study_design_scores_gemma":[0.005480149,0.002054913,0.0001587126,0.0002492592,0.0004864228,0.000007686627,0.0002310261,0.00002679301,0.0281079,0.00007454657,0.9626121,0.000510511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1614526,0.01921416,0.001427292,0.7815552,0.004827416,0.02227819,0.007661842,0.0001136993,0.001469596],"genre_scores_gemma":[0.005446256,0.02040107,0.0002161573,0.5144349,0.02521444,0.0116589,0.0008413926,0.0005499141,0.421237],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4197674,"threshold_uncertainty_score":0.9998219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11753330179108,"score_gpt":0.3915685188405148,"score_spread":0.2740352170494348,"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."}}