{"id":"W2606571211","doi":"10.1007/s00262-017-1996-9","title":"The Summit for Cancer Immunotherapy (Summit4CI), June 26–29, 2016 Halifax, Canada","year":2017,"lang":"en","type":"article","venue":"Cancer Immunology Immunotherapy","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; BC Cancer Agency; Princess Margaret Cancer Centre; University of Guelph; Institute for Research in Immunology and Cancer; University of Alberta; Université de Montréal; Dalhousie University; University Health Network; University of Toronto","funders":"","keywords":"Summit; Immunotherapy; Cancer immunotherapy; Cancer; Medicine; Oncology; Geography; Internal medicine; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003509098,0.00122748,0.0009787775,0.001434435,0.004595355,0.008388224,0.001478134,0.003349237,0.1823723],"category_scores_gemma":[0.003702736,0.0004211028,0.0008156784,0.0008809718,0.001570951,0.001104604,0.003694866,0.003518495,0.06726654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02534485,"about_ca_system_score_gemma":0.04180267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4693245,"about_ca_topic_score_gemma":0.7804746,"domain_scores_codex":[0.9973967,0.0001435459,0.00004695345,0.0001993206,0.001457494,0.0007560384],"domain_scores_gemma":[0.9955093,0.0001391327,0.00008858844,0.000115261,0.001769293,0.002378455],"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":[0.00008251494,0.00001295476,0.0001934223,0.00003155267,0.000004899492,0.00003194005,0.0000172627,0.00009186921,0.0001458828,0.0006886874,0.9920595,0.006639399],"study_design_scores_gemma":[0.00001839015,0.00001863491,0.001708727,0.00008095626,0.000003989544,0.00001189656,0.0001035894,0.00009516689,0.0002638573,0.0003785682,0.9973055,0.00001062847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006624089,0.03408552,0.00220496,0.1606342,0.1631056,0.00090105,0.03562843,0.001563436,0.5952526],"genre_scores_gemma":[0.008700058,0.003252239,0.0007176778,0.003129487,0.00207754,0.00007725102,0.005136521,0.0002322885,0.9766769],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5306755,"threshold_uncertainty_score":0.9331854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165501689010464,"score_gpt":0.3099162494081661,"score_spread":0.2882612325180615,"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."}}