{"id":"W4389569260","doi":"10.2196/52660","title":"Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Social media; Autism; Autism spectrum disorder; Public health; Microblogging; Internet privacy; Computer science; Psychology; Data science; World Wide Web; Medicine; Developmental psychology","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":[0.005109275,0.0007122373,0.0006160784,0.002649534,0.0007404358,0.001198162,0.001157551,0.001151977,0.001874299],"category_scores_gemma":[0.02246644,0.0002215701,0.001005621,0.001645885,0.000743699,0.001547377,0.000902761,0.001524053,0.00101483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023229,"about_ca_system_score_gemma":0.0007705729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009428541,"about_ca_topic_score_gemma":0.007723352,"domain_scores_codex":[0.9971078,0.001352334,0.0002356026,0.0006795123,0.0003764832,0.0002482881],"domain_scores_gemma":[0.9746459,0.02015128,0.001979876,0.00118358,0.001457049,0.0005822987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004091873,0.0007108169,0.9563666,0.00008725056,0.0001672947,0.0001772769,0.0003387289,0.004441187,0.0003702878,0.0003546825,0.002221805,0.03435496],"study_design_scores_gemma":[0.00006954013,0.0008201996,0.435924,0.0001072744,0.0003204993,0.0009685114,0.00204213,0.552155,0.002475291,0.002194484,0.002842979,0.00008006974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926482,0.000185753,0.003567783,0.0007553138,0.00004242554,0.00009673867,0.001292333,0.00006707016,0.001344297],"genre_scores_gemma":[0.9949451,0.0000911485,0.002930689,0.00008495124,0.00004834475,0.00004924935,0.00136641,0.000009081354,0.0004749032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009428541,"threshold_uncertainty_score":0.02702075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161884446452207,"score_gpt":0.4563168996913332,"score_spread":0.2944324532391261,"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."}}