{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004692278,0.0005763763,0.0002642641,0.0006323385,0.0001171241,0.000247693,0.0001919127,0.0003083648,0.0009881185],"category_scores_gemma":[0.001864284,0.000126628,0.0004078879,0.0002071893,0.00009269837,0.0003027456,0.0002413202,0.0003034293,0.0005523196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994562,"about_ca_system_score_gemma":0.0002801661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005056617,"about_ca_topic_score_gemma":0.009339239,"domain_scores_codex":[0.9998655,0.00003093412,0.00001106642,0.00003763481,0.0000290928,0.00002569699],"domain_scores_gemma":[0.9996137,0.0001398911,0.00004540152,0.00003479509,0.0001201406,0.00004614491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007501596,0.0002603576,0.7268725,0.00009036872,0.0001233221,0.0006975962,0.0001034554,0.01762376,0.02814873,0.0002744229,0.003591001,0.2214643],"study_design_scores_gemma":[0.00002969362,0.0003515049,0.5195672,0.00006162925,0.0002009034,0.001329664,0.0002070938,0.4366627,0.0368978,0.001007487,0.00361855,0.00006578061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813934,0.0006570838,0.01426047,0.0001864162,0.00006799027,0.0000487804,0.001831761,0.0002996866,0.001254391],"genre_scores_gemma":[0.9877558,0.0002945476,0.008954411,0.00005713932,0.00002809506,0.00002453162,0.001882406,0.00001836304,0.0009846599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005056617,"threshold_uncertainty_score":0.01005435,"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."}}