{"id":"W4409098678","doi":"10.1109/tai.2025.3556990","title":"A Cervical Cell Classification Framework Based on Multiview Supervised Contrastive Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Artificial Intelligence","topic":"AI in cancer detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Supervised learning; Natural language processing; Artificial neural network","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":[0.0008064662,0.0007545412,0.0009367861,0.001249374,0.0003210403,0.0008036209,0.002152132,0.001152596,0.001431249],"category_scores_gemma":[0.001156027,0.0002940698,0.001165418,0.0005793878,0.0005570283,0.0008760302,0.001108781,0.00113856,0.0005904794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510249,"about_ca_system_score_gemma":0.001067067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006203176,"about_ca_topic_score_gemma":0.006618991,"domain_scores_codex":[0.999599,0.00004830311,0.00001673659,0.0001345826,0.0001378384,0.0000635308],"domain_scores_gemma":[0.9996427,0.00007463052,0.00005735955,0.0000525479,0.0001301289,0.00004266178],"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":[0.0003270249,0.000336065,0.007153768,0.0001736205,0.0001758459,0.0002860106,0.0001317878,0.3796492,0.04469008,0.01264121,0.008151613,0.5462838],"study_design_scores_gemma":[0.000007401547,0.00004078927,0.0003432638,0.000005997913,0.00001532359,0.00006993934,0.000007198374,0.992828,0.004011087,0.001968347,0.0006949273,0.00000767215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0271277,0.0004824583,0.9694165,0.0003361192,0.0000552233,0.00008220945,0.0002560054,0.0008696901,0.001374189],"genre_scores_gemma":[0.6096098,0.0007531639,0.3773549,0.0007989799,0.0002580321,0.0002729842,0.002138871,0.000217935,0.008595309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006203176,"threshold_uncertainty_score":0.01233411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593820595481749,"score_gpt":0.3093843283657635,"score_spread":0.2634461224109459,"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."}}