{"id":"W2593609351","doi":"","title":"A new Virtual Reality training system for underground coal mines","year":2016,"lang":"en","type":"article","venue":"3rd International Symposium on Mine Safety Science and Engineering","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Headset; Virtual reality; Optical head-mounted display; Training system; Coal mining; Computer science; Training (meteorology); Human–computer interaction; Projector; Engineering; Artificial intelligence; Coal","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":[0.0004704235,0.0006692844,0.0005286126,0.0007684723,0.000315568,0.0006380439,0.00104455,0.000949773,0.01495735],"category_scores_gemma":[0.0009483267,0.0003750726,0.0005575869,0.0003581217,0.0001761329,0.0007592798,0.001296541,0.0005164783,0.002451381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690398,"about_ca_system_score_gemma":0.0003825423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007341796,"about_ca_topic_score_gemma":0.0006508689,"domain_scores_codex":[0.9996166,0.0001005231,0.00003332981,0.00007727709,0.0001321611,0.00004004833],"domain_scores_gemma":[0.9996105,0.000100578,0.00002364787,0.0000711334,0.0001153016,0.00007884916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001623169,0.0007572779,0.003796161,0.000864548,0.0001213639,0.001292781,0.001483493,0.01277181,0.2178224,0.003600836,0.03027795,0.7255882],"study_design_scores_gemma":[0.001460488,0.007288318,0.04973277,0.000528567,0.0007785379,0.01210765,0.0009225535,0.3916126,0.1770889,0.003766462,0.3537864,0.0009267399],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1585623,0.0009994179,0.7993907,0.0006201811,0.000539174,0.0007577111,0.001363375,0.02248965,0.01527746],"genre_scores_gemma":[0.6186881,0.0009751065,0.3526191,0.0007347378,0.0001695282,0.001040211,0.001866306,0.0006256547,0.02328124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01495735,"threshold_uncertainty_score":0.05003726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072865119140178,"score_gpt":0.2541415192875049,"score_spread":0.2334128680961032,"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."}}