{"id":"W4283747038","doi":"10.3389/fpubh.2022.856571","title":"Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Analytics; Computer science; Sentiment analysis; Social media; Health care; Tracking (education); Data science; World Wide Web; Medical education; Artificial intelligence; Medicine; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002437345,0.0002062153,0.0002385624,0.002251177,0.001322816,0.001843089,0.0004012796,0.0005185421,0.003523517],"category_scores_gemma":[0.01110522,0.0002978843,0.0003001078,0.002721423,0.0005372597,0.00224239,0.001949447,0.0008993174,0.001742618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104337,"about_ca_system_score_gemma":0.001164058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096525,"about_ca_topic_score_gemma":0.01848247,"domain_scores_codex":[0.9988657,0.0003572742,0.0001257114,0.0001602315,0.0002750761,0.0002160181],"domain_scores_gemma":[0.9901153,0.003244757,0.002999592,0.0006313886,0.002119872,0.0008890909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002745374,0.0003069332,0.9078019,0.0002630105,0.00004115389,0.0003083331,0.05049008,0.0001095045,0.001747501,0.0007912364,0.008232309,0.02963358],"study_design_scores_gemma":[0.00001415415,0.0002549106,0.922201,0.000138522,0.00003675223,0.0001508339,0.05582483,0.001162233,0.001413404,0.0003527236,0.01839195,0.00005868745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919899,0.00008709303,0.0004957049,0.0005471236,0.00002179569,0.0001698789,0.004243533,0.00002754787,0.002417322],"genre_scores_gemma":[0.9894908,0.0001940912,0.001328931,0.0003328977,0.00005206805,0.0006577969,0.004284198,0.00003782498,0.003621545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977489,"threshold_uncertainty_score":0.02180284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4613950548099047,"score_gpt":0.5248137531614449,"score_spread":0.06341869835154013,"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."}}