{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230385,0.0006416668,0.0009039355,0.0003972614,0.0008600882,0.001852834,0.0009029296,0.01224546,0.00570759],"category_scores_gemma":[0.005383587,0.0003265173,0.0008160275,0.000274173,0.001974968,0.003451817,0.00138021,0.01627899,0.004846001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264601,"about_ca_system_score_gemma":0.0007845863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002403443,"about_ca_topic_score_gemma":0.000782451,"domain_scores_codex":[0.998604,0.0004806452,0.0001021975,0.0001571992,0.0005131509,0.000142831],"domain_scores_gemma":[0.9977741,0.001411776,0.0001410166,0.0001324597,0.0003123441,0.0002283012],"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":[0.0004939497,0.0004487398,0.001374232,0.0007292627,0.00007896015,0.005639757,0.0001783836,0.0008708322,0.009127201,0.03330905,0.6858242,0.2619254],"study_design_scores_gemma":[0.0003758469,0.0003881971,0.0003131078,0.0001717115,0.00003638207,0.004429792,0.0001217924,0.000858158,0.003085856,0.02763185,0.9625577,0.00002955647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004137387,0.03944658,0.005142755,0.9106694,0.02372067,0.0001296603,0.00008948183,0.0002224077,0.01644166],"genre_scores_gemma":[0.07129159,0.0470057,0.01357738,0.775524,0.06360238,0.0004556572,0.0002026588,0.0000981251,0.02824259],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01224546,"threshold_uncertainty_score":0.01909381,"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."}}