{"id":"W1997207382","doi":"10.1371/journal.pone.0119689","title":"Personalized Oncogenomics: Clinical Experience with Malignant Peritoneal Mesothelioma Using Whole Genome Sequencing","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; University of British Columbia","funders":"BC Cancer Agency; BC Cancer Foundation; University of British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"Peritoneal mesothelioma; Mesothelioma; CDKN2A; Context (archaeology); Biology; Malignancy; Exome sequencing; Medicine; Phenotype; Cancer research; Pathology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001489143,0.0001433424,0.0003247382,0.00004575586,0.0000730966,0.0000187327,0.00007800787,0.00005559852,0.0001706048],"category_scores_gemma":[0.00005014444,0.0001120475,0.00006883132,0.00008727459,0.0002531431,0.0001085143,0.00004994707,0.0001012204,0.0001243445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003453369,"about_ca_system_score_gemma":0.0002619014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006177906,"about_ca_topic_score_gemma":0.000002807928,"domain_scores_codex":[0.9986281,0.0000439705,0.0002733484,0.0003053856,0.0005256266,0.0002235203],"domain_scores_gemma":[0.9992188,0.00002670275,0.00008090829,0.0002140164,0.0000601307,0.0003994164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001815702,0.001973119,0.5656061,0.00009642429,0.0003517111,0.0002771929,0.002128159,0.00005158213,0.4275373,0.00003482464,0.00001741327,0.000110496],"study_design_scores_gemma":[0.02541328,0.008970443,0.8375235,0.002965859,0.004667009,0.001033421,0.0257926,0.02367972,0.06199073,0.0002776364,0.005151228,0.002534549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982141,0.0005433953,0.00006358563,0.0001938713,0.00002405413,0.0002734805,0.00005253961,0.00004472153,0.0005903004],"genre_scores_gemma":[0.9834332,0.00003211938,0.01478332,0.0005681943,0.0003459363,0.0000225863,0.00006828661,0.0000319711,0.0007143965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3655465,"threshold_uncertainty_score":0.4569164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.203038106441972,"score_gpt":0.3285932292292595,"score_spread":0.1255551227872875,"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."}}