{"id":"W2287804374","doi":"","title":"Generic Simulator Model for Training and Learning in Virtual Laboratory Environments","year":2002,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; Université TÉLUQ","funders":"","keywords":"Training (meteorology); Computer science; Simulation; Human–computer interaction; Virtual reality","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":[0.0004280214,0.0005935299,0.0005168676,0.0005923547,0.0003186523,0.0008783905,0.002126723,0.001472953,0.007735052],"category_scores_gemma":[0.001458958,0.0003218155,0.0008114518,0.0004208267,0.000377985,0.0009513597,0.0009328951,0.0007270246,0.002058428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000705729,"about_ca_system_score_gemma":0.001091767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005363192,"about_ca_topic_score_gemma":0.004364955,"domain_scores_codex":[0.999658,0.00008801452,0.00002641196,0.00007063781,0.0001103555,0.00004658036],"domain_scores_gemma":[0.9996087,0.00009347359,0.00003668044,0.00008613713,0.0001254034,0.00004967395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001181732,0.0001289126,0.001040212,0.0000677745,0.00002937449,0.00007846819,0.00006693407,0.9528779,0.003833144,0.01374306,0.001520766,0.0264953],"study_design_scores_gemma":[0.0000109187,0.00003004112,0.0001963292,0.000005946166,0.000007589481,0.00002645629,0.000007125484,0.9950585,0.0006989259,0.002406074,0.001545649,0.000006353047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02903855,0.000114799,0.9598163,0.0001561742,0.00009151487,0.0002127715,0.000631294,0.002288568,0.007650139],"genre_scores_gemma":[0.7379914,0.0003335604,0.2411194,0.0001267545,0.00004092669,0.0008519283,0.00167196,0.0004037897,0.01746019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007735052,"threshold_uncertainty_score":0.02587628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08569578028967219,"score_gpt":0.28248951340703,"score_spread":0.1967937331173579,"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."}}