{"id":"W6939205789","doi":"10.60692/cff1b-2g725","title":"Recommendations for reporting tissue and circulating tumour (ct)DNA next-generation sequencing results in non-small cell lung cancer","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"DNA sequencing; Lung cancer; Identification (biology); Clinical Practice; Precision medicine; Best practice; Disease; Molecular diagnostics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1413625,0.001709,0.001782423,0.01201189,0.002641638,0.00706773,0.008893944,0.01549706,0.01037867],"category_scores_gemma":[0.3436786,0.002203512,0.004004977,0.006537803,0.00491721,0.009347532,0.005897677,0.01255587,0.01543325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004352417,"about_ca_system_score_gemma":0.01925114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408187,"about_ca_topic_score_gemma":0.0143744,"domain_scores_codex":[0.8245836,0.08756372,0.05870195,0.003809155,0.02216646,0.00317504],"domain_scores_gemma":[0.4803438,0.1925881,0.04648989,0.02761401,0.2451771,0.007787125],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002932626,0.0003247196,0.006219615,0.006353925,0.0001677171,0.001541503,0.003618133,0.002238306,0.006081311,0.01230343,0.6971534,0.2637047],"study_design_scores_gemma":[0.0001621982,0.000271397,0.007106622,0.02291925,0.000278671,0.001392958,0.003153925,0.002563948,0.005405291,0.01509596,0.9413049,0.0003448305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.008315885,0.0264965,0.2183036,0.6330847,0.02450896,0.009927236,0.00833665,0.009601907,0.06142455],"genre_scores_gemma":[0.02215715,0.02278959,0.7707615,0.1412232,0.004793819,0.01041323,0.00657284,0.001916404,0.01937234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8586376,"threshold_uncertainty_score":0.7476051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09639745158549919,"score_gpt":0.2587988876727054,"score_spread":0.1624014360872063,"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."}}