{"id":"W2736696915","doi":"10.1145/3102254.3102287","title":"Discovering the smart forests with virtual reality","year":2017,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Terabyte; Big data; Computer science; Leverage (statistics); Data science; Virtual reality; The Internet; Work (physics); Internet of Things; World Wide Web; Human–computer interaction; Engineering; 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":[0.001581379,0.0007358764,0.0007387287,0.001724329,0.0008611559,0.006943174,0.001375814,0.001457268,0.003750126],"category_scores_gemma":[0.004309234,0.000732174,0.001060078,0.0009612908,0.002319149,0.007122977,0.006008859,0.00237721,0.0008365338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005738876,"about_ca_system_score_gemma":0.000623254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094048,"about_ca_topic_score_gemma":0.003785555,"domain_scores_codex":[0.9990754,0.0004135929,0.00002833479,0.0001814649,0.0002094943,0.0000917228],"domain_scores_gemma":[0.9985362,0.0006878055,0.0001057425,0.0004013591,0.0001335296,0.0001353648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003973004,0.0002987031,0.009529297,0.0008304346,0.0004063621,0.001199243,0.006638939,0.1591928,0.02272011,0.3417732,0.03190408,0.4251096],"study_design_scores_gemma":[0.00005059236,0.00009848196,0.003380433,0.0003107835,0.00008063268,0.0007179574,0.003330755,0.3431838,0.005610142,0.5532231,0.08982908,0.0001842292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04819975,0.003625068,0.919724,0.008060033,0.0002921881,0.0001351287,0.0006931673,0.00190305,0.01736764],"genre_scores_gemma":[0.364486,0.003259196,0.6279432,0.0008374793,0.0002146428,0.0001431166,0.0006987859,0.0002224574,0.002195052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006943174,"threshold_uncertainty_score":0.01254541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854849807078021,"score_gpt":0.3189647002966833,"score_spread":0.2804162022259031,"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."}}