{"id":"W2897179691","doi":"10.2196/10907","title":"YouTube Information about Diabetes and Oral Healthcare (Preprint)","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Health care; Diabetes mellitus; Medicine; Computer science; World Wide Web; Political science","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":[0.000282882,0.0001568426,0.0002330746,0.0001913328,0.0001237855,0.0001078461,0.00008086045,0.0000847556,0.0002140366],"category_scores_gemma":[0.0001157172,0.0001397254,0.000047658,0.0002256338,0.0001390055,0.0006569067,0.000086163,0.0001152408,0.000455126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005111615,"about_ca_system_score_gemma":0.00003811033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001158311,"about_ca_topic_score_gemma":0.000004788783,"domain_scores_codex":[0.9988917,0.00002895464,0.0002710074,0.0002038846,0.0001994722,0.0004050138],"domain_scores_gemma":[0.9991819,0.00003844976,0.0000997433,0.0003075151,0.0001984876,0.0001739456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001216681,0.00006304793,0.8591242,0.0005067678,0.00005082146,1.327822e-7,0.001591966,1.591268e-7,0.0004048762,0.0006013624,0.01174924,0.1258953],"study_design_scores_gemma":[0.0007189706,0.0005020771,0.93438,0.0002338735,0.00005367762,2.218837e-7,0.0004462917,0.0006287235,0.003400304,0.0007146958,0.05872533,0.0001958155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883525,0.0002212309,0.000005644487,0.003363026,0.0003688969,0.0007140721,0.000006099114,0.0001653997,0.006803164],"genre_scores_gemma":[0.9949262,0.00002542454,0.0004244776,0.003457764,0.0003654392,0.0001496855,0.0001296973,0.00001557515,0.000505699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1256994,"threshold_uncertainty_score":0.5849876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199849873061743,"score_gpt":0.2854070119019781,"score_spread":0.2734085131713607,"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."}}