{"id":"W3168422954","doi":"10.2196/27901","title":"Digital Learning in Speech-Language Pathology, Phoniatrics, and Otolaryngology: Interdisciplinary and Exploratory Analysis of Content, Organizing Structures, and Formats","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Otorhinolaryngology; Inclusion (mineral); Computer science; Glossary; Medical education; Medicine; Multimedia; Psychology; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721046,0.00008918506,0.0003093262,0.0002996213,0.00003861338,0.00001779773,0.00003032644,0.0001406148,0.00006906834],"category_scores_gemma":[0.000758299,0.00007852118,0.00002886581,0.0004383062,0.0001493589,0.0001612672,0.0001147061,0.0002855538,5.689819e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002386089,"about_ca_system_score_gemma":0.0002840362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001488595,"about_ca_topic_score_gemma":0.000118634,"domain_scores_codex":[0.9992173,0.00004924682,0.0002470706,0.0002099425,0.0001551661,0.0001213246],"domain_scores_gemma":[0.9995297,0.00007244511,0.00007743841,0.0001012306,0.00006900759,0.0001501764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005515512,0.0002402739,0.8316705,0.000234315,0.0001424866,0.0001637727,0.01787197,2.322887e-7,0.00316088,0.00006062665,0.0001591622,0.1462406],"study_design_scores_gemma":[0.001070164,0.0001206639,0.9235471,0.0001193583,0.0002632747,0.0003773076,0.07334684,0.0003488518,0.000413117,0.0001484964,0.0001402293,0.0001046027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934092,0.00410067,0.00002494842,0.002036348,0.0000663094,0.0001266764,0.000003342708,0.00001453334,0.0002179554],"genre_scores_gemma":[0.9985826,0.0004475063,0.0001417999,0.000534428,0.00004140082,0.000009480471,0.0001504496,0.000008084427,0.00008422055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146136,"threshold_uncertainty_score":0.3202001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194389469581793,"score_gpt":0.3126160519467756,"score_spread":0.3006721572509577,"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."}}