{"id":"W4406802277","doi":"10.18280/isi.300116","title":"Attention-Guided Hybrid Network for Cervical Cancer Classification","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prince Sattam bin Abdulaziz University","keywords":"Cervical cancer; Cancer; Computer science; Artificial intelligence; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004535156,0.0008285042,0.0006207955,0.0006362713,0.0002812878,0.0004179253,0.001223542,0.0009101666,0.00153788],"category_scores_gemma":[0.001078582,0.0002389576,0.0005569232,0.0004644322,0.0003299734,0.0006898225,0.0007443059,0.0007760097,0.0004147741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008507943,"about_ca_system_score_gemma":0.0008282635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110709,"about_ca_topic_score_gemma":0.01580228,"domain_scores_codex":[0.9997632,0.00004284977,0.000009643861,0.00008360681,0.00004697078,0.00005378554],"domain_scores_gemma":[0.9997476,0.0001042086,0.00002719525,0.00002270132,0.00008011124,0.00001822826],"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":[0.0004620727,0.0002516459,0.005486247,0.0001496515,0.0001886445,0.0002455222,0.0001167619,0.3613028,0.02153947,0.003864851,0.009028405,0.5973638],"study_design_scores_gemma":[0.000006391554,0.00004271995,0.0005866563,0.000006440295,0.00002594744,0.00003454079,0.000008919882,0.9952962,0.002137488,0.001344863,0.0005027316,0.00000712245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1721398,0.00451762,0.8102494,0.001101198,0.0002339194,0.000120859,0.0005410269,0.00414918,0.006946936],"genre_scores_gemma":[0.9245172,0.000623004,0.06453791,0.0006374053,0.0001205404,0.00009825312,0.0008521457,0.00007678379,0.008536624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01110709,"threshold_uncertainty_score":0.02208489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481550489101678,"score_gpt":0.2787422502708496,"score_spread":0.2539267453798328,"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."}}