{"id":"W3113573403","doi":"10.2196/21266","title":"Use of #SaludTues Tweetchats for the Dissemination of Culturally Relevant Information on Latino Health Equity: Exploratory Case Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health equity; Information Dissemination; Equity (law); Social media; Population; Internet privacy; Exploratory research; Psychology; Public relations; Public health; World Wide Web; Medicine; Political science; Sociology; Computer science; Environmental health; Nursing","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":[0.008089206,0.0007361741,0.0004645446,0.001896583,0.009399207,0.002871403,0.001807396,0.002200729,0.004641189],"category_scores_gemma":[0.02005814,0.0004922004,0.0006618841,0.001322225,0.003614902,0.004306187,0.005477968,0.002212971,0.0008978118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002805722,"about_ca_system_score_gemma":0.003303787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079217,"about_ca_topic_score_gemma":0.02805134,"domain_scores_codex":[0.993334,0.004917716,0.0002030029,0.0003533949,0.000493849,0.0006980207],"domain_scores_gemma":[0.9800856,0.01434185,0.001713612,0.001049651,0.001142332,0.001667049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002006935,0.001094984,0.04514916,0.0008782159,0.00003860661,0.01785202,0.8789973,0.0002520783,0.002312022,0.00392503,0.006395326,0.04290454],"study_design_scores_gemma":[0.00003426173,0.0003384079,0.01513143,0.0007574887,0.00004011672,0.002952682,0.9448698,0.001358997,0.001117936,0.001291577,0.0320451,0.00006224752],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828896,0.0004920014,0.002525102,0.002812629,0.00006287517,0.000604805,0.0002760612,0.00007267125,0.01026411],"genre_scores_gemma":[0.9840344,0.001097806,0.006438114,0.001230809,0.0000769918,0.001214816,0.0002085582,0.00006555512,0.005632862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01079217,"threshold_uncertainty_score":0.04278028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2691179472065588,"score_gpt":0.4614460255110304,"score_spread":0.1923280783044716,"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."}}