{"id":"W7133607240","doi":"10.1109/wecon68556.2025.11414630","title":"A Novel Hybrid Machine Learning Strategy for Early Oral Cancer Detection","year":2025,"lang":"","type":"article","venue":"","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cancer; Feature (linguistics); Support vector machine; Cancer detection; Key (lock)","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":[0.001024328,0.001029088,0.001284265,0.001683203,0.0006858128,0.001212953,0.00200159,0.001638666,0.0029416],"category_scores_gemma":[0.001615508,0.0003738562,0.0009287613,0.001058314,0.000448128,0.001289161,0.001183865,0.0007945475,0.001485773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000563436,"about_ca_system_score_gemma":0.0009409426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901785,"about_ca_topic_score_gemma":0.003439402,"domain_scores_codex":[0.9991596,0.0001347147,0.00005600373,0.0002476767,0.0002895521,0.0001125365],"domain_scores_gemma":[0.999281,0.0002123071,0.00005099142,0.00007521381,0.0003338976,0.00004659264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002688833,0.0003779636,0.002611058,0.0001463954,0.0001628188,0.0002782057,0.000122904,0.09252073,0.02339726,0.005517664,0.005116867,0.8694794],"study_design_scores_gemma":[0.0000155526,0.0001182254,0.0006419055,0.000010354,0.00004239622,0.0001869605,0.00002716595,0.9900059,0.004600213,0.002372913,0.001957306,0.00002117967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02603606,0.0009273688,0.966607,0.0003816756,0.0001837137,0.0001432532,0.00008720232,0.00147647,0.004157211],"genre_scores_gemma":[0.5255903,0.0005802106,0.4586507,0.0006643256,0.0002549239,0.0003719832,0.0004217366,0.0001523023,0.01331357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0029416,"threshold_uncertainty_score":0.009840667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045759323038244,"score_gpt":0.3488040372335988,"score_spread":0.3030447141953548,"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."}}