{"id":"W4249627238","doi":"10.4018/978-1-4666-8619-9.ch011","title":"Learning through Immersive Virtual Environments","year":2015,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College","funders":"","keywords":"Workforce; Process (computing); Knowledge management; Transfer of learning; Workplace learning; Organizational learning; Engineering ethics; Engineering; Computer science; Political science; Artificial intelligence; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005259106,0.0004714743,0.000248218,0.0006623315,0.0005740739,0.0043998,0.0009194463,0.001026677,0.02263661],"category_scores_gemma":[0.001281293,0.0001820034,0.0003862504,0.0005065162,0.001522167,0.004323721,0.004042817,0.001354938,0.003522555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003189,"about_ca_system_score_gemma":0.0004698385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003863338,"about_ca_topic_score_gemma":0.0007760944,"domain_scores_codex":[0.9995998,0.0001476417,0.0000162062,0.00005002693,0.0001316724,0.00005470995],"domain_scores_gemma":[0.9995791,0.0002658562,0.00002103957,0.00005487724,0.00002847474,0.00005057611],"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":[0.00004350017,0.0001148872,0.0004114204,0.001038238,0.00002387248,0.0003608071,0.01063931,0.003300303,0.005493098,0.3608069,0.04525695,0.5725107],"study_design_scores_gemma":[0.00001029066,0.00008067088,0.0006255055,0.0006795768,0.000009717887,0.0007152045,0.001745545,0.001113217,0.001498155,0.08025626,0.9132392,0.00002660172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02544464,0.03197515,0.1109177,0.004413056,0.001149693,0.0001199189,0.0003423667,0.001314573,0.8243229],"genre_scores_gemma":[0.3685067,0.07127727,0.1041206,0.002928986,0.001130385,0.0004402768,0.0006581325,0.0004179876,0.4505196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02263661,"threshold_uncertainty_score":0.07572705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547342009737815,"score_gpt":0.2934505256582772,"score_spread":0.247977105560899,"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."}}