{"id":"W4416941768","doi":"10.1007/s10803-025-07164-5","title":"How Diagnostically Accurate are #Autism Portrayals? A Latent Space Item Response Modeling Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Autism and Developmental Disorders","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Autism; Social media; Conversation; Space (punctuation); Quality (philosophy); Content analysis; Content (measure theory)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007722632,0.0003494844,0.0004909667,0.000624108,0.0004224082,0.000421365,0.0005117682,0.00015761,0.00002392757],"category_scores_gemma":[0.001775039,0.000303142,0.0001505516,0.0007585608,0.0002563324,0.0007334109,0.0003549643,0.0006769773,0.000009359456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795034,"about_ca_system_score_gemma":0.0005740256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001891311,"about_ca_topic_score_gemma":0.00001562787,"domain_scores_codex":[0.9970122,0.0003340509,0.0006556869,0.000532979,0.0007897986,0.0006753143],"domain_scores_gemma":[0.9984194,0.0007412845,0.0003300576,0.0001925419,0.00002471519,0.0002919881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0229737,0.009029126,0.1929626,0.002234133,0.001444826,0.00582422,0.02247957,0.01046288,0.1506441,0.4666592,0.01414026,0.1011454],"study_design_scores_gemma":[0.01106596,0.0008943396,0.7826301,0.001351716,0.0001789502,0.001705931,0.006884376,0.0712106,0.007446475,0.1069811,0.007454589,0.002195945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011304,0.001357431,0.02941228,0.06480268,0.0003120849,0.0004973959,0.00001686549,0.00006029149,0.002410603],"genre_scores_gemma":[0.9928054,0.002285222,0.00302332,0.0005441758,0.000009028766,0.00001770046,0.000001845439,0.00003325873,0.001280091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5896675,"threshold_uncertainty_score":0.9999421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808570433580085,"score_gpt":0.2744462765807156,"score_spread":0.2463605722449147,"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."}}