{"id":"W4409651419","doi":"10.23977/jaip.2025.080206","title":"A two-stage cervical pathology cell detection model based on YOLOv7x and K-means","year":2025,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stage (stratigraphy); Pathology; Medicine; Computer science; Biology; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00160398,0.0001629602,0.0002266905,0.0004264276,0.0001944502,0.0002177622,0.0004964727,0.0001254946,0.00001186615],"category_scores_gemma":[0.0008858676,0.0001530328,0.0000965336,0.0006212576,0.00009059241,0.001149895,0.0001063767,0.0007451166,0.00002126899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950374,"about_ca_system_score_gemma":0.0002905743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003695791,"about_ca_topic_score_gemma":0.00004067598,"domain_scores_codex":[0.998018,0.0003395294,0.0006673311,0.000334925,0.000395116,0.0002450778],"domain_scores_gemma":[0.9973961,0.001024773,0.0006234126,0.0003608043,0.0004893611,0.0001055223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001252284,0.0005749025,0.00003112569,0.00004872664,0.00003218899,0.0001991899,0.001085505,0.4989956,0.02237387,0.03090787,0.00008287223,0.4444158],"study_design_scores_gemma":[0.00009446467,0.0005868776,0.00001725529,0.00003108286,0.00003831507,0.00009565983,0.0004029571,0.8776072,0.1067297,0.01288152,0.001397497,0.000117431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006232187,0.00009685001,0.9827237,0.006624158,0.001170438,0.0001194064,0.000001095816,0.00003876509,0.002993366],"genre_scores_gemma":[0.8809064,0.00007415932,0.1165115,0.002280135,0.0001310896,0.000005041651,9.202991e-8,0.000008863027,0.00008273865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8746742,"threshold_uncertainty_score":0.6240497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386071167995914,"score_gpt":0.3352474627157263,"score_spread":0.3013867510357672,"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."}}