{"id":"W4285796100","doi":"10.5539/gjhs.v14n8p16","title":"Mosquito-Borne Arboviruses in Brazil: Assessment of Apps Based on the Mobile Apps Rating Scale (MARS)","year":2022,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Apoio à Pesquisa do Estado da Paraíba; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade Estadual da Paraíba","keywords":"Dengue fever; Cronbach's alpha; Chikungunya; Scale (ratio); Rating scale; Population; Mars Exploration Program; Reliability (semiconductor); Cohen's kappa; Medicine; Geography; Environmental health; Computer science; Statistics; Machine learning; Cartography; Mathematics; Virology; Biology; Clinical psychology; Physics","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":[0.005757118,0.0004607578,0.0005406863,0.001998124,0.0005012904,0.001449762,0.000415334,0.0003680475,0.001156937],"category_scores_gemma":[0.02959814,0.0002959405,0.001121452,0.001032213,0.0005437749,0.001008773,0.001545558,0.0006311631,0.0002761021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007184268,"about_ca_system_score_gemma":0.001593624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007831028,"about_ca_topic_score_gemma":0.01132217,"domain_scores_codex":[0.9961641,0.001314048,0.0006394867,0.0002543842,0.001390937,0.0002370362],"domain_scores_gemma":[0.9875321,0.00493332,0.002889255,0.0003946509,0.003683355,0.0005673317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002149669,0.0002607957,0.8006364,0.002171563,0.0001812669,0.0004090463,0.02793384,0.0002563451,0.001905116,0.0007040806,0.002790223,0.1625365],"study_design_scores_gemma":[0.00003879855,0.0006544846,0.950104,0.001771787,0.0002593369,0.001122229,0.02429381,0.002363637,0.000838205,0.0005431393,0.01790889,0.0001016564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812285,0.002243656,0.002145126,0.0009543422,0.00007670172,0.001002993,0.001586882,0.00008672318,0.01067506],"genre_scores_gemma":[0.9914486,0.001671091,0.004819956,0.0001279801,0.00002279544,0.0005788147,0.0006153308,0.00001599382,0.0006993115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007831028,"threshold_uncertainty_score":0.03044695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257017252745017,"score_gpt":0.4299304004832947,"score_spread":0.3973602279558445,"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."}}