{"id":"W2601094905","doi":"10.1080/17446651.2017.1312341","title":"Selective molecular biomarkers to predict biologic behavior in pituitary tumors","year":2017,"lang":"en","type":"article","venue":"Expert Review of Endocrinology & Metabolism","topic":"Inflammation biomarkers and pathways","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Carcinogenesis; Pituitary tumors; Pituitary adenoma; microRNA; Cancer research; Biology; Bioinformatics; Cancer; Medicine; Adenoma; Gene; Genetics; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004511045,0.0003450756,0.001041025,0.0003145164,0.0002336418,0.00001086219,0.0008862686,0.0002270521,0.0004601144],"category_scores_gemma":[0.0006918987,0.0002833117,0.0002848025,0.0001789238,0.0004934208,0.0001412155,0.000309354,0.0003001399,0.0002248074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003744049,"about_ca_system_score_gemma":0.00009491224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004207332,"about_ca_topic_score_gemma":0.00003057743,"domain_scores_codex":[0.9973652,0.0005158138,0.0008244395,0.0005588413,0.00006501776,0.0006707105],"domain_scores_gemma":[0.998234,0.00007997228,0.0004675136,0.001000463,0.0001650658,0.00005296083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002198501,0.0002661282,0.01054373,0.0003565254,0.0004061173,0.0002078411,0.0003384399,4.081882e-7,0.9262015,0.004889331,0.01151165,0.04505854],"study_design_scores_gemma":[0.002245526,0.0003517561,0.3595703,0.001745995,0.0001537576,0.0003125855,0.0001421076,6.225226e-7,0.3918302,0.0002136738,0.2427675,0.000665921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5660614,0.4214046,0.00007186498,0.002401772,0.002064161,0.001985457,0.00010485,0.00008612117,0.0058197],"genre_scores_gemma":[0.9486201,0.04598239,0.001161699,0.002891604,0.00008403491,0.0008857505,0.0001410941,0.00003474365,0.0001985981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5343712,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166729131805119,"score_gpt":0.3025784154504008,"score_spread":0.2859055022698889,"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."}}