{"id":"W3212091473","doi":"10.1016/j.jcjd.2021.09.055","title":"A Systematic Population-Based Approach to Identify Patients With NTRK Gene Fusion-Positive and RET Gene Fusion/Mutation-Positive Thyroid Cancers Who Could Benefit from Treatment With TRK or RET Inhibitors","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Fusion gene; Trk receptor; Cancer research; Thyroid carcinoma; Internal medicine; Oncology; Gene mutation; Mutation; Population; Thyroid cancer; Gene; Thyroid; Receptor; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00115612,0.0005003559,0.001064751,0.001952436,0.0007795792,0.0007310779,0.0006835096,0.0008835134,0.001867118],"category_scores_gemma":[0.004223534,0.0004045403,0.001518453,0.001726637,0.0002355709,0.000653048,0.0009702828,0.0006234997,0.0003929862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008216396,"about_ca_system_score_gemma":0.002187173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543884,"about_ca_topic_score_gemma":0.02782208,"domain_scores_codex":[0.9988211,0.0003099219,0.0001895695,0.000431976,0.0001267782,0.0001206464],"domain_scores_gemma":[0.998662,0.0003349396,0.0003180649,0.0000883895,0.0003803189,0.000216238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003567649,0.0003583546,0.9625405,0.0006406103,0.002548235,0.0007530845,0.0003235767,0.0005311252,0.001659879,0.0002081273,0.003630648,0.02323827],"study_design_scores_gemma":[0.001077432,0.002157357,0.97591,0.0004513529,0.004914686,0.001943812,0.001044149,0.004620045,0.0005804386,0.001105521,0.00610259,0.00009259638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720638,0.005527684,0.007403778,0.0009609216,0.0001904713,0.002438059,0.008234449,0.0001242525,0.00305656],"genre_scores_gemma":[0.9902726,0.001021435,0.003664368,0.0007290799,0.00007192927,0.00111179,0.002557524,0.00001609861,0.0005552192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01543884,"threshold_uncertainty_score":0.03069794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008293753129180138,"score_gpt":0.2273560998784175,"score_spread":0.2190623467492374,"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."}}