{"id":"W3176660239","doi":"10.1002/cam4.4076","title":"Clinical and cost outcomes following genomics‐informed treatment for advanced cancers","year":2021,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Willow Breast and Hereditary Cancer Support; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"Genomics; Medicine; Oncology; Internal medicine; MEDLINE; Intensive care medicine; Bioinformatics; Genetics; Genome; Biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102281,0.0001683303,0.0003565738,0.00001950468,0.00007830826,0.000007718071,0.0000713894,0.00009706997,0.00002526303],"category_scores_gemma":[0.0003455225,0.0001385198,0.0001373229,0.00004539824,0.0001171805,0.000002852733,0.0000467504,0.00004382116,7.396707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017586,"about_ca_system_score_gemma":0.0009767349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504415,"about_ca_topic_score_gemma":0.001805539,"domain_scores_codex":[0.9989986,0.00001313274,0.0003093747,0.0003693457,0.00006872506,0.0002408398],"domain_scores_gemma":[0.9992673,0.0001255962,0.00008189633,0.0002682071,0.00008697125,0.0001700129],"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":[0.0006119683,0.0001098883,0.4337175,0.0001211901,0.001348947,0.00004090173,0.0005955122,0.0004867468,0.1029754,0.0003869006,0.01896131,0.4406438],"study_design_scores_gemma":[0.01029459,0.0008377458,0.02160775,0.00007587329,0.0002486104,0.000005251527,0.0004942857,0.00006354992,0.01868301,0.00009125337,0.9473053,0.0002927779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729916,0.02004975,0.00088667,0.002497982,0.002076259,0.0005473106,0.0001502082,0.000009852387,0.000790405],"genre_scores_gemma":[0.9490438,0.03856335,0.001943149,0.00513329,0.001378665,0.0005234597,0.0004129177,0.00005031587,0.002951053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.928344,"threshold_uncertainty_score":0.5648673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604964716284401,"score_gpt":0.3870675389155765,"score_spread":0.3510178917527325,"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."}}