{"id":"W4415040660","doi":"10.1002/lary.70194","title":"Machine Learning to Predict Extranodal Extension in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis","year":2025,"lang":"en","type":"review","venue":"The Laryngoscope","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Head and neck; Extension (predicate logic); Head (geology); Squamous cell cancer; Support vector machine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001171032,0.0005692488,0.009359436,0.0004007923,0.0001524691,0.00002815637,0.0001711286,0.0001444659,0.00005277953],"category_scores_gemma":[0.0003396137,0.0002968611,0.0007431015,0.001387474,0.00005483258,0.00003578277,0.0002741241,0.0006682075,0.00001336177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007134891,"about_ca_system_score_gemma":0.0001570347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004356397,"about_ca_topic_score_gemma":0.0002765743,"domain_scores_codex":[0.9969471,0.0007968445,0.0009735679,0.0006424631,0.0002816227,0.0003584457],"domain_scores_gemma":[0.9982989,0.0005957435,0.0002445434,0.0006266549,0.00006553234,0.0001685721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00001525126,0.00004598853,0.0000531426,0.9920104,0.006206528,0.00006701628,0.0002109534,5.452868e-7,2.800366e-7,0.000003194619,0.0001697616,0.001216916],"study_design_scores_gemma":[0.000483771,0.00034624,0.0001077848,0.1443343,0.8206066,0.0000862508,0.00002591225,0.00003132503,3.158314e-7,0.000001540753,0.03368562,0.0002903084],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001021601,0.9932419,0.000006344148,0.000842122,0.00003004773,0.004837568,0.00004887755,0.00003995371,0.000851029],"genre_scores_gemma":[0.00201841,0.9923199,0.00006835407,0.001211004,0.00002702268,0.0007236227,0.00004188068,0.00003990945,0.003549909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8476761,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291510293805036,"score_gpt":0.3336614778133678,"score_spread":0.2907463748753175,"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."}}