{"id":"W2401586841","doi":"","title":"Glimpses for Effective implementation of Virtual Trainer","year":2007,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trainer; Computer science; Multimedia; Mode (computer interface); Virtual reality; Quality (philosophy); Face (sociological concept); Metaverse; Human–computer interaction; World Wide Web","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":[0.001934658,0.0006555486,0.0002683239,0.0007821292,0.0006302065,0.001710477,0.001354538,0.001332867,0.01152146],"category_scores_gemma":[0.005314337,0.000282733,0.0003410063,0.0001855315,0.0005980098,0.00283521,0.001412202,0.00121638,0.00173609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282802,"about_ca_system_score_gemma":0.0009035131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003895818,"about_ca_topic_score_gemma":0.0005451041,"domain_scores_codex":[0.9975899,0.001104435,0.0001282542,0.0001939058,0.0006940844,0.0002895621],"domain_scores_gemma":[0.9980481,0.0007370434,0.0002240583,0.0002864063,0.0003711711,0.0003332634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003847562,0.002467514,0.01332377,0.001696947,0.00004448489,0.002228484,0.01123545,0.00720001,0.03255094,0.09808438,0.01317743,0.8176059],"study_design_scores_gemma":[0.0004583934,0.007362024,0.07247963,0.004084615,0.0002487706,0.008670126,0.03050176,0.1115986,0.09595586,0.08393384,0.5843185,0.0003879379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2256345,0.002099646,0.6203973,0.008831634,0.0005440992,0.001359712,0.0001127086,0.003973739,0.1370467],"genre_scores_gemma":[0.6245526,0.001205517,0.3491886,0.0006026456,0.00009701334,0.0007133277,0.0001308533,0.0001961588,0.02331334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01152146,"threshold_uncertainty_score":0.03854311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338220115115665,"score_gpt":0.3719677858406036,"score_spread":0.348585584689447,"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."}}