{"id":"W4220830554","doi":"10.2196/32752","title":"Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Sentiment analysis; Psychology; Social media; Perception; Content analysis; Advertising; Content (measure theory); Internet privacy; Computer science; World Wide Web; Business; Sociology; Artificial intelligence","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":[0.0008340846,0.0002827085,0.0002688563,0.002828863,0.0008529762,0.001212549,0.0001954016,0.0004150759,0.001932042],"category_scores_gemma":[0.004640156,0.0001182551,0.0002865018,0.002311501,0.0003607357,0.00127619,0.0009697857,0.0004378796,0.0008439152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503997,"about_ca_system_score_gemma":0.000268046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860011,"about_ca_topic_score_gemma":0.005245401,"domain_scores_codex":[0.9990485,0.0003054019,0.0001356179,0.0001203592,0.0002595655,0.0001305121],"domain_scores_gemma":[0.9955656,0.002333924,0.001100971,0.0001015565,0.000674995,0.0002230085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00153592,0.0003001931,0.716036,0.002729354,0.0002117271,0.002496625,0.07769577,0.0007929019,0.03153221,0.001250201,0.03606533,0.1293537],"study_design_scores_gemma":[0.00001774377,0.0001673902,0.9151939,0.000404653,0.00009067363,0.0006220409,0.04156868,0.005155656,0.004923669,0.0004876829,0.03128534,0.00008257149],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842377,0.0003135295,0.0004914312,0.0007612844,0.0000897961,0.0001491861,0.009545396,0.00004950705,0.004362175],"genre_scores_gemma":[0.9841213,0.000653013,0.00208688,0.0003995946,0.0003314177,0.0004052128,0.009107398,0.00004753845,0.002847529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860011,"threshold_uncertainty_score":0.006463349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357287582040714,"score_gpt":0.4180053600274866,"score_spread":0.2822766018234152,"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."}}