{"id":"W4220881912","doi":"10.1371/journal.pone.0264850","title":"Preliminary investigations for the development of a virtual reality-based English-language communication program: Using the Delphi method","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education, Recreation and Sports","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Delphi method; Delphi; Virtual reality; Context (archaeology); Computer science; Medical education; Psychology; Mathematics education; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006572951,0.0000610663,0.0001050994,0.00006692807,0.002184147,0.00004673596,0.0009421826,0.00003708328,0.0000397749],"category_scores_gemma":[0.002035057,0.0000462691,0.00004295845,0.0005750763,0.0004071088,0.00006501115,0.0002939359,0.0002648187,3.144386e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017966,"about_ca_system_score_gemma":0.0008063829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105215,"about_ca_topic_score_gemma":0.0006908407,"domain_scores_codex":[0.9972803,0.001288359,0.00026872,0.0001274162,0.0008327049,0.0002024792],"domain_scores_gemma":[0.9963276,0.002700207,0.0001566331,0.0004762378,0.0002973204,0.00004203772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000247009,0.004464645,0.0004834672,0.0001821734,0.0004217002,9.694573e-7,0.8646814,0.004008258,0.01606643,0.03199147,0.001230914,0.07622162],"study_design_scores_gemma":[0.0009722811,0.0009194899,0.0006942576,0.0003158324,0.0004749139,6.746287e-7,0.6225497,0.2560021,0.08236846,0.007176799,0.02798772,0.0005377994],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8346362,0.0005964056,0.1157317,0.0326278,0.00008117304,0.01313113,0.0001357895,0.0006044197,0.002455418],"genre_scores_gemma":[0.6339532,0.000003932915,0.3630845,0.00008879725,0.00003273336,0.002732939,0.0000271019,0.00001126721,0.00006550747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519938,"threshold_uncertainty_score":0.9991149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3750265226548168,"score_gpt":0.4781589865772714,"score_spread":0.1031324639224546,"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."}}