{"id":"W2911690798","doi":"10.1016/j.radonc.2019.01.018","title":"Selection of lymph node target volumes for definitive head and neck radiation therapy: a 2019 Update","year":2019,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":253,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Head and neck; Lymph node; Medicine; Selection (genetic algorithm); Radiation therapy; Radiology; Nuclear medicine; Medical physics; Internal medicine; Computer science; Surgery; Artificial intelligence","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":[0.00516517,0.0005583522,0.0009167512,0.001701843,0.0003284944,0.002066622,0.001331044,0.0008542137,0.00683224],"category_scores_gemma":[0.01386825,0.0004330965,0.0008508072,0.00214425,0.0005378556,0.001926746,0.000930711,0.00145613,0.002016569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446776,"about_ca_system_score_gemma":0.003019189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00789001,"about_ca_topic_score_gemma":0.01897529,"domain_scores_codex":[0.9989406,0.0002619965,0.0002837809,0.0001565561,0.0003068742,0.00005021139],"domain_scores_gemma":[0.9900961,0.006266091,0.001055397,0.0001933503,0.002161813,0.0002272624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002144355,0.00003928559,0.005854432,0.004887481,0.0001349619,0.00005135352,0.0000770258,0.0008909533,0.0007056074,0.0016928,0.07810296,0.9073488],"study_design_scores_gemma":[0.00008787859,0.0002238141,0.01308701,0.00817232,0.0006982543,0.0008125218,0.0001464275,0.0006062467,0.001175976,0.001327561,0.9736149,0.00004707024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.007882711,0.9401588,0.005091771,0.01518675,0.004499811,0.00009502762,0.002410423,0.0001821621,0.02449251],"genre_scores_gemma":[0.05218871,0.8861703,0.02084703,0.01863331,0.00574453,0.000258935,0.007094095,0.0005131775,0.00854995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00789001,"threshold_uncertainty_score":0.02731639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614973254334937,"score_gpt":0.3124828727643525,"score_spread":0.2963331402210031,"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."}}