{"id":"W2980716293","doi":"10.11606/t.55.2019.tde-15102019-145225","title":"Computational methods in Biology: cancer biomarkers, protein networks and lateral gene transfer","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Computational biology; Gene; Gene transfer; Biology; Cancer; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003263382,0.000509756,0.0007838244,0.0008701033,0.0005497951,0.002192654,0.00076028,0.001213222,0.009475356],"category_scores_gemma":[0.01078832,0.0003221314,0.0007587019,0.00165134,0.001119712,0.002024337,0.00123805,0.002995948,0.002756242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008759984,"about_ca_system_score_gemma":0.001205955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599403,"about_ca_topic_score_gemma":0.001901402,"domain_scores_codex":[0.9993369,0.0003120404,0.00002993687,0.0001101417,0.0001795904,0.00003133993],"domain_scores_gemma":[0.9946497,0.004204256,0.0001204803,0.0002477235,0.0004526531,0.0003251464],"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":[0.0001567814,0.0001693279,0.002358878,0.00159411,0.0003255018,0.00009849463,0.0003218618,0.05293792,0.001782747,0.248423,0.3167776,0.3750538],"study_design_scores_gemma":[0.00006498204,0.00005357883,0.001897078,0.0005531338,0.00009344804,0.0001206212,0.0001127712,0.219252,0.002608079,0.6277289,0.1474531,0.00006224649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02076577,0.1282585,0.6875739,0.1198559,0.007460479,0.00009104286,0.002580877,0.00178817,0.03162542],"genre_scores_gemma":[0.2688235,0.1612543,0.4658684,0.008283019,0.01145348,0.0006032913,0.006240585,0.002370672,0.07510286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009475356,"threshold_uncertainty_score":0.03169823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008655578599284005,"score_gpt":0.3123498631387596,"score_spread":0.3036942845394756,"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."}}