{"id":"W2313812295","doi":"10.1093/annonc/mdv048.07","title":"Prognostic Classification of Lung Adenocarcinoma by Integrated Mirna-Mrna Expression Profiles","year":2015,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"microRNA; Medicine; Adenocarcinoma; Oncology; Lung cancer; Internal medicine; Gene expression profiling; Gene expression; Cancer; Gene; Biology; Genetics","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":[0.0008272211,0.0003555167,0.0005996267,0.001267325,0.0002673268,0.001304857,0.0002733394,0.0005459397,0.001616802],"category_scores_gemma":[0.002063411,0.0001853681,0.0004771907,0.0009442439,0.0002398172,0.0005544971,0.0005344745,0.0005470834,0.0005881265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268318,"about_ca_system_score_gemma":0.000237771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003439791,"about_ca_topic_score_gemma":0.001084329,"domain_scores_codex":[0.9994884,0.0001245823,0.00007091679,0.00009550908,0.0001181351,0.0001026018],"domain_scores_gemma":[0.9990693,0.0003124234,0.0002532003,0.00006632083,0.0001848907,0.0001139159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001076173,0.00005288338,0.9495582,0.00005774782,0.0002459675,0.0001430605,0.00005734992,0.0004234158,0.01504277,0.000113385,0.0004251717,0.03280388],"study_design_scores_gemma":[0.00004343058,0.0004667674,0.9774578,0.00004919523,0.0006184453,0.001269087,0.0003404732,0.009912651,0.006586318,0.0009547888,0.002266636,0.00003455888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939259,0.002121229,0.001326587,0.0002490262,0.00005712079,0.00001657854,0.0007660762,0.00004258516,0.001494977],"genre_scores_gemma":[0.9979048,0.0002877169,0.0008408129,0.00004226853,0.00004580485,0.000008932623,0.0005537043,0.00000918323,0.0003067431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001616802,"threshold_uncertainty_score":0.005408764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053877004269525,"score_gpt":0.4342140308115797,"score_spread":0.3288263303846273,"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."}}