{"id":"W4213187594","doi":"10.3747/co.27.6577","title":"Erratum: Therapeutic Landscape of Metastatic Non-Small-Cell Lung Cancer in Canada in 2020","year":2020,"lang":"en","type":"erratum","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lung cancer; Table (database); Column (typography); Oncology; Data mining; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002767162,0.001112274,0.001216005,0.003193523,0.004608391,0.003939735,0.00175331,0.003998175,0.04651307],"category_scores_gemma":[0.03238845,0.0005866846,0.001327178,0.004425524,0.001600391,0.001262471,0.0009795472,0.006660137,0.02191011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01659358,"about_ca_system_score_gemma":0.0464187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6781329,"about_ca_topic_score_gemma":0.7659191,"domain_scores_codex":[0.9966204,0.0001900097,0.0004682445,0.0002559795,0.002110875,0.0003544923],"domain_scores_gemma":[0.9678488,0.004295251,0.001166099,0.0006169011,0.02427209,0.001800774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008866515,0.000001287657,0.0001018531,0.00002872578,0.000002118719,0.00004591496,0.000009632206,0.00001628856,0.000007687193,0.0002087516,0.9977429,0.001826004],"study_design_scores_gemma":[0.0000260925,0.000008984193,0.001601922,0.0003573488,0.00003137928,0.0002564258,0.0001343774,0.0001141196,0.0001055358,0.0004603615,0.9968664,0.00003701531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005509745,0.003911563,0.0004856451,0.1677911,0.7844056,0.00007694816,0.02012577,0.0004190305,0.02223345],"genre_scores_gemma":[0.02232594,0.022714,0.005945199,0.3289611,0.1577216,0.0002507256,0.03295074,0.002227342,0.4269033],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3218671,"threshold_uncertainty_score":0.6475253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178822158972383,"score_gpt":0.3870566251477017,"score_spread":0.3452684035579778,"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."}}