{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01642312,0.002572653,0.0166036,0.004433936,0.0005243424,0.002582116,0.001908135,0.002141339,0.001849649],"category_scores_gemma":[0.04514892,0.001198652,0.03137985,0.005049653,0.0007083265,0.001715606,0.0009883209,0.001595791,0.0002138217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934511,"about_ca_system_score_gemma":0.002502474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005823619,"about_ca_topic_score_gemma":0.01006355,"domain_scores_codex":[0.9900346,0.006059675,0.00179656,0.0009085028,0.0009909531,0.0002098039],"domain_scores_gemma":[0.9724741,0.02251842,0.002911332,0.0005063345,0.001364718,0.0002251737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003459077,0.00005945365,0.008053516,0.2476393,0.7171467,0.00009121083,0.00006626704,0.001515513,0.0001595504,0.0001051989,0.0004846562,0.02121958],"study_design_scores_gemma":[0.001056605,0.0005587011,0.006552745,0.02880749,0.9605435,0.0001115185,0.00003545496,0.0008113908,0.000130579,0.0002080426,0.001151616,0.00003238177],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007160298,0.9914287,0.0005186595,0.0001816112,0.0001282754,0.0002041571,0.0002047932,0.00001696477,0.000156659],"genre_scores_gemma":[0.2277567,0.7656953,0.003565834,0.0006559324,0.0004498494,0.001029362,0.0005576953,0.00002400862,0.0002654361],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0166036,"threshold_uncertainty_score":0.08685482,"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."}}