{"id":"W7044092825","doi":"","title":"Using next generation sequencing to detect clinically relevant oncogene mutations in lung cancer","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"KRAS; Lung cancer; DNA sequencing; Concordance; Fusion gene; Mutation; Gene; Cancer; Digital polymerase chain reaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003247926,0.0003983579,0.0003717843,0.002560001,0.0002103882,0.0008036359,0.0004201649,0.0008943958,0.0007650644],"category_scores_gemma":[0.003421432,0.0002621143,0.0003677403,0.0008707332,0.0003402794,0.0003175485,0.0003693019,0.0005042884,0.0005538548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005497547,"about_ca_system_score_gemma":0.0006013677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786572,"about_ca_topic_score_gemma":0.003906074,"domain_scores_codex":[0.9984609,0.0006525844,0.0001329682,0.0002375684,0.0004626881,0.00005331531],"domain_scores_gemma":[0.9981771,0.0009413224,0.0002593613,0.0001356599,0.0004056817,0.00008097077],"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":[0.0006346303,0.0002769012,0.200432,0.001537326,0.0008754938,0.001625945,0.0004440738,0.009054114,0.4745008,0.001177797,0.006944483,0.3024964],"study_design_scores_gemma":[0.0002456053,0.001492002,0.4248136,0.0009982766,0.00108733,0.01111489,0.0006301765,0.10063,0.3681692,0.01101316,0.07960176,0.0002041093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6874208,0.04529922,0.2361111,0.003817072,0.0008784647,0.001011668,0.008311868,0.002816736,0.01433308],"genre_scores_gemma":[0.6940202,0.009900845,0.2840388,0.003377469,0.0002607814,0.0005335095,0.004703051,0.000159133,0.003006209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003247926,"threshold_uncertainty_score":0.01717693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08336095904535124,"score_gpt":0.3589254410887889,"score_spread":0.2755644820434376,"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."}}