{"id":"W2594276295","doi":"10.1186/s40425-017-0225-6","title":"Immunotherapy biomarkers 2016: overcoming the barriers","year":2017,"lang":"en","type":"article","venue":"Journal for ImmunoTherapy of Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"U.S. Food and Drug Administration; Society for Immunotherapy of Cancer","keywords":"Medicine; Immunotherapy; Data science; Computer science; Cancer; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1517642,0.001261433,0.002562203,0.003120124,0.003651352,0.01562224,0.004324035,0.009902653,0.01714653],"category_scores_gemma":[0.1173784,0.001526796,0.001961652,0.001613275,0.008707115,0.02494951,0.01247719,0.02450685,0.01491113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00609688,"about_ca_system_score_gemma":0.02045145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343476,"about_ca_topic_score_gemma":0.004192273,"domain_scores_codex":[0.9556288,0.01680944,0.006197425,0.003508913,0.01536543,0.002489961],"domain_scores_gemma":[0.8437248,0.07290699,0.009679007,0.006882353,0.05174306,0.01506377],"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":[0.0003025526,0.0001562925,0.001911172,0.002951418,0.0001046011,0.0001652492,0.000553455,0.0003947775,0.001679648,0.0579076,0.5536042,0.380269],"study_design_scores_gemma":[0.00002547482,0.0001457279,0.0006618726,0.001756457,0.00003412402,0.0004567807,0.0004795087,0.0002770533,0.0005721691,0.02179205,0.9737526,0.00004611975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0008296111,0.1460484,0.006144565,0.8186365,0.02110657,0.00009646574,0.000246123,0.0002164171,0.006675198],"genre_scores_gemma":[0.03765482,0.3219512,0.03852816,0.4851926,0.09538636,0.0007300525,0.002014946,0.0005182656,0.01802367],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1517642,"threshold_uncertainty_score":0.8026154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361164177102914,"score_gpt":0.3512964664018322,"score_spread":0.3276848246308031,"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."}}