{"id":"W2568216745","doi":"10.1016/j.jtho.2016.11.1074","title":"P2.01-022 A PIWI-Interacting RNAs Co-Expression Networks as a Prognostic Factor in Lung Cancer","year":2017,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre","funders":"","keywords":"Piwi-interacting RNA; Transcriptome; Biology; microRNA; Epigenetics; Gene; Gene expression; Computational biology; Psychological repression; RNA; Metastasis; Lung cancer; Cancer; Cancer research; Genetics; Medicine; RNA interference; Pathology","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":[0.000416937,0.0003369883,0.0002662978,0.0006144848,0.0005862201,0.001212526,0.000285842,0.0006182204,0.005664402],"category_scores_gemma":[0.0009452389,0.0002407209,0.0003370301,0.0007269769,0.0003202613,0.0002833444,0.0004395039,0.0007601909,0.001525505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554318,"about_ca_system_score_gemma":0.0004113157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006034286,"about_ca_topic_score_gemma":0.0007181746,"domain_scores_codex":[0.9996402,0.00007537099,0.00002771969,0.00009443575,0.00009289986,0.00006928405],"domain_scores_gemma":[0.9995726,0.00009652607,0.0001342019,0.00003816666,0.00005521279,0.0001034141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005874011,0.0003735108,0.4421881,0.0003059879,0.00064464,0.00532746,0.0002647568,0.00125398,0.4817201,0.003166726,0.008208178,0.0506725],"study_design_scores_gemma":[0.0003563176,0.0009388087,0.7632269,0.00008618135,0.001173422,0.01440999,0.0006370424,0.02279369,0.1487551,0.003853104,0.04369229,0.000077204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817542,0.003010582,0.004040221,0.000825137,0.0002219774,0.00004416297,0.001889292,0.0001644069,0.008049918],"genre_scores_gemma":[0.9946195,0.0002790304,0.0009602217,0.0001738753,0.0000666374,0.00003875858,0.0009008757,0.00003535584,0.002925814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005664402,"threshold_uncertainty_score":0.01894933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871402295392598,"score_gpt":0.4255995260276653,"score_spread":0.4068855030737393,"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."}}