{"id":"W4312839084","doi":"10.2139/ssrn.4231806","title":"A Deep Neural Network for Cervical Cell Detection Based on Cytology Images","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"AI in cancer detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial intelligence; Artificial neural network; Computer science; Cytology; Deep neural networks; Pattern recognition (psychology); Computer vision; Medicine; Pathology","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":[0.0002888448,0.0005981872,0.0005156541,0.0005907741,0.000314227,0.0004675867,0.001027608,0.0009685248,0.002341604],"category_scores_gemma":[0.0005310964,0.0003633248,0.0005396005,0.0005120453,0.0001720798,0.0005096336,0.0007193091,0.0007607456,0.0008183479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006395098,"about_ca_system_score_gemma":0.0009873764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332678,"about_ca_topic_score_gemma":0.01833038,"domain_scores_codex":[0.9998575,0.00001137438,0.000007140055,0.00004267185,0.00004414639,0.00003718081],"domain_scores_gemma":[0.999838,0.00003724949,0.00001332366,0.00001585269,0.00007803218,0.0000174255],"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":[0.0004114336,0.000354394,0.005153411,0.0001573885,0.0001486799,0.0002306558,0.00005314411,0.09112615,0.05360069,0.001950808,0.01001043,0.8368028],"study_design_scores_gemma":[0.00001087924,0.00008454942,0.001671994,0.00001536418,0.00004784566,0.00006861049,0.00001082125,0.98524,0.01076005,0.0008037053,0.001272758,0.00001343809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674193,0.002623687,0.8148402,0.001108838,0.0006427705,0.0002180253,0.001550588,0.004376061,0.007220498],"genre_scores_gemma":[0.7918031,0.001179874,0.1859175,0.0005992949,0.0001979869,0.0001754413,0.001851064,0.00008997675,0.01818584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01332678,"threshold_uncertainty_score":0.02649844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006437612693196812,"score_gpt":0.2237435353356696,"score_spread":0.2173059226424728,"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."}}