{"id":"W4389222161","doi":"10.2196/48004","title":"Detection and Characterization of Web-Based Pediatric COVID-19 Vaccine Discussions and Racial and Ethnic Minority Topics: Retrospective Analysis of Twitter Data","year":2023,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Family medicine; Political science; Pathology; Infectious disease (medical specialty); Disease","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":[0.00158372,0.0003098533,0.0003565022,0.002670112,0.0006266643,0.0009279745,0.0003821159,0.0003813094,0.001689225],"category_scores_gemma":[0.008151806,0.0002186294,0.0003726164,0.002699992,0.0003257699,0.001274371,0.001448932,0.0004529011,0.001183076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005317716,"about_ca_system_score_gemma":0.0005917097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00622075,"about_ca_topic_score_gemma":0.007269426,"domain_scores_codex":[0.9987589,0.0002938888,0.0002548927,0.0002569788,0.0002471985,0.0001881166],"domain_scores_gemma":[0.9950324,0.001582738,0.001564906,0.0003297337,0.001118839,0.0003714235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004003011,0.00005807881,0.9679089,0.0005608077,0.00006911925,0.0004239619,0.005486045,0.0001701974,0.003217843,0.0002682652,0.005694626,0.01574179],"study_design_scores_gemma":[0.0000113042,0.0001131271,0.9714534,0.000212331,0.0000776652,0.0005903098,0.009886891,0.002371794,0.002624086,0.0001811813,0.01244379,0.00003410684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594857,0.0003722668,0.001060089,0.0003730711,0.00004397723,0.0002553338,0.03601419,0.0000685244,0.002326771],"genre_scores_gemma":[0.9678736,0.0004878653,0.002036369,0.0002233069,0.00005828421,0.0008478673,0.02721313,0.00005092616,0.001208588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00622075,"threshold_uncertainty_score":0.0123691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082571517493005,"score_gpt":0.3505543707138844,"score_spread":0.2997286555389543,"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."}}