{"id":"W3047038339","doi":"10.2196/18258","title":"Web-Based Virtual Learning Environment for Medicine Administration in Pediatrics and Neonatology: Content Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Health Education and Validation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade de Brasília","keywords":"Virtual learning environment; Instructional simulation; Nursing; Health care; Pediatric nursing; Learning environment; Medicine; Neonatology; Content analysis; Content validity; Qualitative research; Medical education; Psychology; Educational technology; Pedagogy","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":[0.006254982,0.0005406486,0.0006082513,0.002307359,0.0003325684,0.001118936,0.0008110223,0.0004689342,0.002399043],"category_scores_gemma":[0.01864971,0.0002102364,0.0007446333,0.001035518,0.0003663426,0.0009107509,0.001208854,0.0003924292,0.000391141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008769057,"about_ca_system_score_gemma":0.001315365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006010048,"about_ca_topic_score_gemma":0.0007582805,"domain_scores_codex":[0.9966702,0.001897288,0.0003542903,0.0001898495,0.0007242701,0.0001640973],"domain_scores_gemma":[0.9839189,0.0112376,0.0007740582,0.0005138073,0.002875051,0.00068069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004708927,0.01943459,0.04881075,0.004962612,0.0002622124,0.000351889,0.007572331,0.007742683,0.01487662,0.001068747,0.003798589,0.8864101],"study_design_scores_gemma":[0.005368215,0.08217301,0.5981597,0.005985054,0.002902545,0.001872789,0.01534447,0.1155749,0.1077063,0.003139331,0.06116209,0.0006115331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974476,0.0004609819,0.01361139,0.0001006338,0.00005237127,0.005929492,0.0004498438,0.0003921445,0.004527131],"genre_scores_gemma":[0.9032982,0.001082628,0.08329842,0.0001134884,0.00006053708,0.007588224,0.001218832,0.00009711799,0.003242502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006254982,"threshold_uncertainty_score":0.03307992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12381388144321,"score_gpt":0.4079909604752779,"score_spread":0.2841770790320678,"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."}}