{"id":"W3012501245","doi":"10.2196/16467","title":"Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Samsung; National Research Foundation of Korea; National Research Foundation","keywords":"Visual inspection; Computer science; Artificial intelligence; Machine learning; Medical physics; mHealth; Cervical cancer; Medicine; Cancer; Nursing","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":[0.001452711,0.0005251239,0.000503148,0.0003722562,0.0002528739,0.0003321008,0.0004051356,0.0006225571,0.001199098],"category_scores_gemma":[0.003640102,0.0001978602,0.0004920831,0.0001722219,0.0003355003,0.000366642,0.0004124783,0.0003364065,0.0002254224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054404,"about_ca_system_score_gemma":0.0005102112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001738367,"about_ca_topic_score_gemma":0.001979949,"domain_scores_codex":[0.9992717,0.0003361475,0.00003632119,0.0001417677,0.0001442053,0.00006976983],"domain_scores_gemma":[0.998428,0.0006966012,0.0001739782,0.0001010819,0.0004445354,0.0001557614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02095987,0.04183358,0.2807,0.003680399,0.0006302651,0.003383466,0.004810897,0.00640245,0.2504618,0.0003676974,0.001883477,0.3848861],"study_design_scores_gemma":[0.001304931,0.2974138,0.5579036,0.0001996516,0.000973916,0.004197078,0.003072171,0.0555763,0.07476389,0.0002882835,0.004074215,0.0002321357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961342,0.0002159945,0.002705815,0.00005311043,0.0000159464,0.000443059,0.00007925484,0.00002586451,0.000326774],"genre_scores_gemma":[0.9888027,0.0002484664,0.009950137,0.0001062525,0.00002513565,0.0003640782,0.0001035258,0.000008516125,0.000391173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001738367,"threshold_uncertainty_score":0.0076828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082264995306128,"score_gpt":0.4398185191740116,"score_spread":0.3315920196433988,"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."}}