{"id":"W2496225477","doi":"10.4018/978-1-4666-2670-6.ch006","title":"Visual Learning in the Virtual World","year":2013,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Art Education and Development","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Virtual world; Process (computing); Metaverse; Representation (politics); Cognition; Psychology; Multimedia; Computer science; Virtual reality; Human–computer interaction; Political science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000119688,0.0002379461,0.0001999471,0.00008413553,0.0002522572,0.0002587823,0.0002116499,0.00007443805,0.005337697],"category_scores_gemma":[0.00000778958,0.0001705959,0.0000859497,0.00000525409,0.0001453117,0.00004242493,0.00006395347,0.0003600362,0.003641472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191668,"about_ca_system_score_gemma":0.0001659365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001307118,"about_ca_topic_score_gemma":0.002557768,"domain_scores_codex":[0.9989887,0.00002583175,0.0002793001,0.0002171283,0.0002765268,0.0002125031],"domain_scores_gemma":[0.999586,0.00004531503,0.0001129395,0.0001431776,0.0000601171,0.00005243839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004504819,0.000009352768,0.000009464236,0.000004252022,0.00001720003,0.000005752618,0.009585176,6.132869e-7,6.731327e-8,0.9306344,0.05293381,0.006795437],"study_design_scores_gemma":[0.00009768837,0.00003823889,0.00004087337,0.00005857124,0.000009865294,0.000002752058,0.001638327,0.000002895731,3.799562e-7,0.1006824,0.89722,0.0002079526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003144665,0.00007320785,0.000001737461,0.0003433416,0.0007415554,0.0002412257,0.000006950688,0.00006731042,0.9982102],"genre_scores_gemma":[0.2044718,0.000001275303,0.000009339732,0.002042286,0.00063058,0.00002473893,0.000007038878,0.00001661254,0.7927964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8442862,"threshold_uncertainty_score":0.9971343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932434486520452,"score_gpt":0.2547291771613503,"score_spread":0.2254048322961458,"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."}}