{"id":"W2898987931","doi":"10.1126/sciimmunol.aav1872","title":"Developing combination immunotherapies against cancer that make sense","year":2018,"lang":"en","type":"letter","venue":"Science Immunology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Cancer immunotherapy; Sense (electronics); Cancer; Immunotherapy; Immunology; Medicine; Computational biology; Cancer research; Computer science; Biology; Internal medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.0008236991,0.00047041,0.0006639019,0.0008308885,0.0005775013,0.0001375366,0.0006111237,0.000834524,0.0003974345],"category_scores_gemma":[0.00008180537,0.000399798,0.0002097094,0.001029667,0.004236915,0.0002063377,0.0001821259,0.001217198,0.0001240995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360979,"about_ca_system_score_gemma":0.002333664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000484375,"about_ca_topic_score_gemma":0.00003520403,"domain_scores_codex":[0.9966995,0.0001117169,0.00048092,0.0009366918,0.0007612185,0.001009935],"domain_scores_gemma":[0.9979165,0.00009274451,0.0004226288,0.00100249,0.0005247285,0.00004095148],"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":[0.001533184,0.0001164254,0.00132935,0.0003579994,0.001571246,0.0006615561,0.002408843,3.300682e-7,0.3169628,0.000246936,0.4490424,0.2257689],"study_design_scores_gemma":[0.001901996,0.0003417807,0.01002933,0.0006472479,0.00006552168,0.0003171286,0.0001741469,0.00001571565,0.02926019,0.000233615,0.9564527,0.0005606049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.154746,0.01229482,0.0001523535,0.8203525,0.007872459,0.0009726133,0.00002819236,0.0002658312,0.003315188],"genre_scores_gemma":[0.02479973,0.009556137,0.001154438,0.9530124,0.001889125,0.00018955,0.0002152613,0.0001249871,0.00905838],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5074103,"threshold_uncertainty_score":0.9998454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042491318069269,"score_gpt":0.3169337651981892,"score_spread":0.2765088520174965,"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."}}