{"id":"W1438911368","doi":"10.4018/ijvple.2014100103","title":"Incidental Learning in 3D Virtual Environments","year":2014,"lang":"en","type":"article","venue":"International Journal of Virtual and Personal Learning Environments","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Salience (neuroscience); Salient; Educational technology; Style (visual arts); Computer science; Virtual learning environment; Auditory learning; Visual learning; Instructional simulation; Virtual machine; Psychology; Learning styles; Process (computing); Multimedia; Human–computer interaction; Mathematics education; Cognitive psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683802,0.000250574,0.0002962767,0.0006820389,0.000258301,0.001649269,0.000381317,0.000237888,0.001321267],"category_scores_gemma":[0.0135599,0.0001941348,0.00038034,0.0002252769,0.0006491183,0.001436976,0.001304116,0.0004174841,0.0001531258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605545,"about_ca_system_score_gemma":0.0002326427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005722665,"about_ca_topic_score_gemma":0.001066808,"domain_scores_codex":[0.9990807,0.0003209181,0.00009560287,0.000113125,0.0002995274,0.00009017284],"domain_scores_gemma":[0.9888718,0.006861194,0.002231332,0.001018206,0.0004121941,0.0006052797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0010757,0.001857655,0.6451261,0.0007328757,0.0001734945,0.001822541,0.01692871,0.004051406,0.02896511,0.00322373,0.0005161173,0.2955265],"study_design_scores_gemma":[0.00009725148,0.004342415,0.9264849,0.0002744351,0.0001523539,0.004877857,0.01142805,0.009491832,0.02007772,0.01592929,0.006710093,0.00013386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968216,0.00006445465,0.002073387,0.00001425488,0.00000263556,0.00001814377,0.000008944466,0.00001662551,0.0009798965],"genre_scores_gemma":[0.997645,0.0001091103,0.001844586,0.00001289664,0.00000359414,0.00001231745,0.00002520806,0.000003701404,0.0003435699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001649269,"threshold_uncertainty_score":0.004592478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033117081691888,"score_gpt":0.2701227398870127,"score_spread":0.2597915690700939,"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."}}