{"id":"W4240950236","doi":"10.1038/sj.onc.1210246","title":"Guest Editors","year":2007,"lang":"en","type":"article","venue":"Oncogene","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; University of Toronto; Queen's University","keywords":"Biology; Computational biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009958782,0.001008224,0.0007049872,0.001360586,0.0007986017,0.00282124,0.0009025038,0.001898707,0.2839964],"category_scores_gemma":[0.004311418,0.0003236218,0.0004088148,0.0006236518,0.0003760445,0.001546523,0.001597442,0.002431467,0.1821852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005264567,"about_ca_system_score_gemma":0.000837577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003400985,"about_ca_topic_score_gemma":0.0009427265,"domain_scores_codex":[0.9994197,0.00007183228,0.00003572643,0.0001231565,0.0002597682,0.00008984217],"domain_scores_gemma":[0.9972724,0.0003539473,0.0001698285,0.0001598574,0.0009300637,0.001113844],"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":[0.00004301011,0.00001308937,0.00008745082,0.0001006806,0.000002794279,0.0001335638,0.00001214518,0.00002913489,0.0002974347,0.0009603097,0.945469,0.05285146],"study_design_scores_gemma":[0.000006938755,0.00001063344,0.0001334408,0.0000363097,0.000002852813,0.0001538022,0.00001525577,0.00002810418,0.0001185568,0.0003405704,0.999151,0.000002586119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001323757,0.02168697,0.001747984,0.04398791,0.6390422,0.0001665608,0.0007414909,0.0007625118,0.2905406],"genre_scores_gemma":[0.003389188,0.0076929,0.000499059,0.00812436,0.1014629,0.0000639512,0.0002987642,0.0002466742,0.8782222],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7160035,"threshold_uncertainty_score":0.9500627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004159556723250621,"score_gpt":0.2440195857592786,"score_spread":0.239860029036028,"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."}}