{"id":"W4220894291","doi":"10.1016/j.it.2022.03.003","title":"All is not lost: learning from 9p21 loss in cancer","year":2022,"lang":"en","type":"review","venue":"Trends in Immunology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Toronto General Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"Genentech; Canada Research Chairs; Astellas Pharma Canada; Princess Margaret Cancer Foundation; Merck; University Health Network; Ontario Institute for Cancer Research; Roche; Novartis; University of Toronto; AbbVie; Terry Fox Research Institute; Celgene; Bayer; Bristol-Myers Squibb; AstraZeneca; Amgen; Pfizer","keywords":"Pembrolizumab; Genotype; Information and Communications Technology; Cancer; Evasion (ethics); Antibody; Immune system; Immunology; Medicine; Oncology; Immunotherapy; Internal medicine; Biology; Gene; Genetics; Political science","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":[0.001472403,0.0007766411,0.00171277,0.0009918753,0.0002808007,0.001423679,0.001171814,0.001802018,0.003362598],"category_scores_gemma":[0.002360216,0.000241984,0.0005808942,0.001017536,0.0008853944,0.002118877,0.001133611,0.004103445,0.001948878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007095436,"about_ca_system_score_gemma":0.001187632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006446796,"about_ca_topic_score_gemma":0.001669624,"domain_scores_codex":[0.9996628,0.00007513721,0.00004292513,0.00005809555,0.0001224776,0.0000386493],"domain_scores_gemma":[0.99914,0.0004622909,0.00008785641,0.00002634418,0.000194342,0.00008899687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001541931,0.00003066195,0.0003497241,0.006041516,0.0001213989,0.000240994,0.00004005698,0.0002508234,0.0006759475,0.005627565,0.1078846,0.8785825],"study_design_scores_gemma":[0.00004729968,0.00008298938,0.0007223061,0.002896236,0.0001138683,0.0009270067,0.00004828924,0.00009929376,0.0002535028,0.006542732,0.9882464,0.00002007652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008818068,0.9958259,0.0001284993,0.002284366,0.001088469,0.000002035403,0.00002636366,0.00001029736,0.0005458561],"genre_scores_gemma":[0.001161557,0.9938762,0.000169692,0.00233294,0.001684143,0.00000503662,0.00005313132,0.000003586783,0.000713745],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003362598,"threshold_uncertainty_score":0.01124901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119142308806226,"score_gpt":0.395589634095474,"score_spread":0.2836754032148514,"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."}}