{"id":"W2766737563","doi":"10.1503/cmaj.109-5462","title":"Researcher dedicated to tumour-suppressing genes","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suppressor; Clinical trial; Gene; Kidney cancer; Cancer; Bioinformatics; Medicine; Computational biology; Computer science; Cancer research; Biology; Genetics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003187155,0.0008536958,0.0007789402,0.001902449,0.001850215,0.003314928,0.001026324,0.002884012,0.06512909],"category_scores_gemma":[0.008241974,0.0003381067,0.000821456,0.0008913408,0.0010659,0.00171986,0.001982564,0.004918224,0.03080778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003419836,"about_ca_system_score_gemma":0.006001092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025454,"about_ca_topic_score_gemma":0.005646744,"domain_scores_codex":[0.9970209,0.0003825267,0.0001339327,0.0006889837,0.001322069,0.000451613],"domain_scores_gemma":[0.9841562,0.0009499381,0.0003996101,0.000437725,0.00629513,0.007761296],"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":[0.0001163344,0.00003583026,0.000487945,0.0001625774,0.00001645163,0.0003052876,0.0001413462,0.00003789536,0.001750278,0.004845438,0.9323136,0.05978709],"study_design_scores_gemma":[0.00001729231,0.00005504146,0.0003142549,0.00007834608,0.0000126434,0.0005920012,0.00009428179,0.00003111952,0.0007212422,0.000786648,0.9972864,0.00001076289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003207148,0.07153514,0.003900455,0.2786968,0.570751,0.0001595778,0.0009306685,0.0005751777,0.07024393],"genre_scores_gemma":[0.01770044,0.04813418,0.002491031,0.07109337,0.1562453,0.000149312,0.0008441978,0.0004830078,0.7028592],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06512909,"threshold_uncertainty_score":0.2178785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241989329384976,"score_gpt":0.2857449660363187,"score_spread":0.2733250727424689,"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."}}