{"id":"W4285024807","doi":"10.3390/diagnostics12071694","title":"Radiomics Diagnostic Tool Based on Deep Learning for Colposcopy Image Classification","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"VLIRUOS; Vlaamse Interuniversitaire Raad","keywords":"Colposcopy; Medicine; Cervical cancer; Cervix; Visual inspection; Cancer; Radiology; Gynecology; Artificial intelligence; Internal medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003951511,0.0001382521,0.0002364606,0.0001500601,0.000390076,0.00004195024,0.0001420759,0.00005606197,0.002482379],"category_scores_gemma":[0.01015447,0.0001432186,0.0001171242,0.0003066323,0.00006489612,0.00003199634,0.00006051232,0.0005199055,0.00005106938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003973546,"about_ca_system_score_gemma":0.0002129098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012048,"about_ca_topic_score_gemma":0.000004632119,"domain_scores_codex":[0.9984633,0.00009256736,0.0002413472,0.0003155007,0.0005311995,0.0003560713],"domain_scores_gemma":[0.9924425,0.006824944,0.00006533906,0.0002989967,0.0002156533,0.0001525248],"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":[0.009608252,0.005803854,0.2535622,0.001991979,0.0002457533,0.0005591142,0.001058645,0.03785723,0.003945787,0.01269049,0.1286159,0.5440609],"study_design_scores_gemma":[0.007379993,0.004882089,0.3117464,0.00004250907,0.0002513593,0.0000132503,0.0004432102,0.499686,0.001901501,0.0005556607,0.1726675,0.0004305586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5567326,0.005024689,0.2895835,0.04132769,0.004727005,0.02164239,0.001338852,0.001442706,0.07818051],"genre_scores_gemma":[0.9924126,0.0003922738,0.002135558,0.002300935,0.000343802,0.001348661,0.0007178389,0.0000583188,0.0002900558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5436303,"threshold_uncertainty_score":0.9984295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165982890608556,"score_gpt":0.337915779988999,"score_spread":0.3062559510829135,"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."}}