{"id":"W4378715199","doi":"10.3390/jimaging9060109","title":"Gender, Smoking History, and Age Prediction from Laryngeal Images","year":2023,"lang":"en","type":"article","venue":"Journal of Imaging","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Deep learning; Computer science; Artificial intelligence; Laryngoscopy; Machine learning; Medicine; Surgery; Intubation","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002651109,0.00006910792,0.0001776874,0.0002027369,0.00003818093,0.00001831739,0.00004133593,0.00002347699,0.00006614597],"category_scores_gemma":[0.00008442866,0.00005941711,0.00006871854,0.00007368285,0.0000383066,0.000232304,0.00002181469,0.0002322071,0.000005407049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012767,"about_ca_system_score_gemma":0.00006726522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004653425,"about_ca_topic_score_gemma":0.000002027155,"domain_scores_codex":[0.9993035,0.00001950745,0.0002237132,0.00008563328,0.0002369941,0.0001306511],"domain_scores_gemma":[0.9996143,0.0000402082,0.0001217395,0.0000739409,0.00006215607,0.00008765675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001189271,0.00006649258,0.6868439,0.00009127493,0.0002176663,0.00341065,0.003258253,0.00001181365,0.06992819,0.0000135649,0.1829673,0.05307193],"study_design_scores_gemma":[0.002787747,0.0001026766,0.9417173,0.0002798577,0.0003425157,0.0006637131,0.002909346,0.001183914,0.001047208,0.0008787765,0.04796407,0.0001228334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844469,0.007223501,0.0005853934,0.002654954,0.0006894856,0.00005471228,0.000005441279,0.00005607345,0.004283556],"genre_scores_gemma":[0.9969258,0.0009018696,0.0007075482,0.0005901005,0.0004863688,5.201532e-7,0.000008878582,0.00001658273,0.0003622919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2548734,"threshold_uncertainty_score":0.2422959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970536442066625,"score_gpt":0.2710448416779947,"score_spread":0.2413394772573285,"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."}}