{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009784328,0.000061381,0.0001085333,0.00005731712,0.0001606379,0.00001932073,0.00004377827,0.00007648197,0.0001430764],"category_scores_gemma":[0.000964736,0.00006168799,0.00001402052,0.0001159669,0.000080437,0.00008049051,0.000005215334,0.00008443961,0.000007425554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078177,"about_ca_system_score_gemma":0.0004881275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001247886,"about_ca_topic_score_gemma":0.0003530525,"domain_scores_codex":[0.9989216,0.0002930215,0.0002156399,0.000173345,0.0002512842,0.0001450472],"domain_scores_gemma":[0.9994492,0.0002182384,0.0001109991,0.00003849622,0.00005509404,0.0001280069],"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":[0.000458421,0.0002286977,0.1656313,0.0002167474,0.000009878232,0.000002359779,0.1216931,0.0008103351,0.001125203,0.008451926,0.004898198,0.6964739],"study_design_scores_gemma":[0.004440772,0.001646167,0.1762183,0.00002941336,0.00004448102,6.696442e-7,0.0401947,0.02845777,0.0001070547,0.0001924109,0.7484033,0.0002649369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154184,0.0001872767,0.0006481081,0.08209351,0.0001849033,0.001207847,0.00000221565,0.00003597581,0.0002217045],"genre_scores_gemma":[0.9976842,0.000177267,0.0001860656,0.001254133,0.0002608733,0.0002918897,0.00005151567,0.000005645805,0.00008841504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7435051,"threshold_uncertainty_score":0.2515563,"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."}}