{"id":"W2884088670","doi":"10.15273/ijge.2018.03.012","title":"Using Virtual Reality to Enhance Mineral Processing Education","year":2018,"lang":"en","type":"article","venue":"International Journal of Georesources and Environment","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Visualization; Computer science; Mineral processing; Multimedia; Function (biology); Human–computer interaction; Concentrator; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332408,0.00006500445,0.00007825537,0.00007242234,0.00002809072,0.0000443687,0.0001231124,0.0000261514,0.00006089621],"category_scores_gemma":[0.000006068002,0.00006144722,0.00002327582,0.0000145522,0.00003561242,0.0001002179,0.00003982167,0.00005667468,0.000004491362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044494,"about_ca_system_score_gemma":0.00001053252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001404016,"about_ca_topic_score_gemma":0.000002554826,"domain_scores_codex":[0.9995235,0.000005479849,0.0002162636,0.0000665366,0.0001122058,0.00007607302],"domain_scores_gemma":[0.9997788,0.000006013225,0.00007549397,0.00004758223,0.00002682376,0.00006530187],"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":[0.0001373781,0.0001234047,0.005061714,0.00002118942,0.0001269061,0.000008168714,0.004434715,0.08241208,0.02597192,0.0003396334,0.00501144,0.8763515],"study_design_scores_gemma":[0.0005409468,0.0009481503,0.02997677,0.0006089092,0.00007201109,0.0005862284,0.001491461,0.2389524,0.02785975,0.00219812,0.6959762,0.0007889831],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584717,0.0001267147,0.04017725,0.0002386198,0.000266422,0.00002711355,0.000002561336,0.00001009816,0.0006795425],"genre_scores_gemma":[0.9868138,0.0001049921,0.01217401,0.0001258563,0.000709502,0.000001128296,0.000001027139,0.000009288942,0.00006041544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8755625,"threshold_uncertainty_score":0.2505745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148650360088951,"score_gpt":0.2747607402070022,"score_spread":0.2598957041981071,"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."}}