{"id":"W2008837727","doi":"10.1210/en.2004-1134","title":"Fibroblast Growth Factor Receptors as Molecular Targets in Thyroid Carcinoma","year":2004,"lang":"en","type":"article","venue":"Endocrinology","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Endocrinology; Internal medicine; Receptor; Thyroid; Fibroblast growth factor; Carcinoma; Thyroid carcinoma; Biology; Fibroblast growth factor receptor 3; Medicine; Cancer research","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":[0.0001795153,0.000299592,0.0002838116,0.0004019458,0.0002075979,0.0003256304,0.0002571896,0.0003983302,0.0005871125],"category_scores_gemma":[0.00009749147,0.0001612574,0.0002652675,0.0002334606,0.0002076169,0.0001860433,0.0002244915,0.0005269824,0.0002551959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006900898,"about_ca_system_score_gemma":0.000398811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310718,"about_ca_topic_score_gemma":0.00316625,"domain_scores_codex":[0.9998811,0.00001711595,0.000008885746,0.00001639958,0.0000517894,0.00002462824],"domain_scores_gemma":[0.9999659,0.000007420077,0.000007745304,0.000004354134,0.000005742185,0.000008868381],"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":[0.0001820825,0.00004534739,0.0006346121,0.000113478,0.00001406724,0.0003167179,0.00003169988,0.0002803809,0.987528,0.0006448887,0.0002238237,0.009984903],"study_design_scores_gemma":[0.00009416883,0.00081658,0.008767554,0.00002847923,0.0000905643,0.002502413,0.00006087278,0.001389879,0.9535078,0.0004262876,0.03229246,0.00002298813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215105,0.06368924,0.003705067,0.0007173585,0.0001227763,0.0001425038,0.0005309228,0.0002306571,0.00935087],"genre_scores_gemma":[0.9794788,0.01394933,0.002274505,0.0001153855,0.00002201635,0.00006821813,0.0004477277,0.000010086,0.003633871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002310718,"threshold_uncertainty_score":0.005006969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008613068152817281,"score_gpt":0.255991705127575,"score_spread":0.2473786369747577,"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."}}