{"id":"W4394384460","doi":"10.6084/m9.figshare.20013097","title":"Additional file 3 of Identification of a TGF-β signaling-related gene signature for prediction of immunotherapy and targeted therapy for lung adenocarcinoma","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Immunotherapy; Signature (topology); Identification (biology); Gene signature; Cancer research; Transforming growth factor; Adenocarcinoma; Computational biology; Lung; Gene; Biology; Medicine; Oncology; Internal medicine; Cancer; Gene expression; Genetics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001245104,0.001455637,0.001652565,0.001672666,0.0005511257,0.001767847,0.001916994,0.001802118,0.4451771],"category_scores_gemma":[0.01337212,0.0005476612,0.001597264,0.002474766,0.0003032335,0.0009726773,0.001034479,0.00125868,0.08661754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211555,"about_ca_system_score_gemma":0.001942471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007800957,"about_ca_topic_score_gemma":0.01846208,"domain_scores_codex":[0.9992946,0.0001122176,0.0001049737,0.0002537705,0.0001298665,0.0001045617],"domain_scores_gemma":[0.9936275,0.004654902,0.0004211054,0.0004224739,0.0006428087,0.0002311397],"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":[0.0004383074,0.00008062017,0.004501264,0.004594631,0.0001906363,0.00006629643,0.00003300266,0.0009402928,0.0002391104,0.0005017463,0.9831873,0.005226789],"study_design_scores_gemma":[0.006722022,0.0002827638,0.03315308,0.002898742,0.0006572455,0.0005140637,0.000158493,0.003306312,0.00144026,0.007104272,0.9436402,0.000122526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009434942,0.00002873713,0.00004963551,0.00003292055,0.000006781513,0.00001306843,0.9995288,0.00008153208,0.0001641845],"genre_scores_gemma":[0.002188831,0.00007739282,0.000568472,0.0001616169,0.0000184537,0.0003175827,0.9953703,0.0001236346,0.00117368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4451771,"threshold_uncertainty_score":0.7913876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704100870408829,"score_gpt":0.2847756540904457,"score_spread":0.2677346453863574,"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."}}