{"id":"W2372630245","doi":"","title":"The Applying of Vision & Modeling Technology in Simulate Training System on Navigation","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Field (mathematics); Artificial intelligence; Human–computer interaction; Training (meteorology); Navigation system; Computer vision; Simulation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003283569,0.0004877797,0.0002889409,0.0004223071,0.0004146263,0.0009431954,0.0004973197,0.0006098633,0.005391756],"category_scores_gemma":[0.001000325,0.0002802781,0.0006096073,0.0002245302,0.0003603935,0.001182684,0.0007317753,0.0005638201,0.001274737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437001,"about_ca_system_score_gemma":0.0008550565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004770144,"about_ca_topic_score_gemma":0.00308121,"domain_scores_codex":[0.9996575,0.00007833331,0.00001769917,0.00005587226,0.0001658674,0.00002465784],"domain_scores_gemma":[0.999754,0.00007025579,0.0000122185,0.00004048109,0.00009966314,0.00002334834],"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":[0.000192027,0.0001521375,0.005093959,0.0005473063,0.0001087318,0.0003221685,0.0008873179,0.1799974,0.09246913,0.1084341,0.01813775,0.5936579],"study_design_scores_gemma":[0.00006965296,0.0004056114,0.002806404,0.0001931248,0.0001762071,0.0008460289,0.000216166,0.707948,0.07772414,0.02401218,0.1854968,0.0001057155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01430563,0.0005917916,0.9554263,0.0003883847,0.0002741191,0.00005659293,0.00007071971,0.0020021,0.02688435],"genre_scores_gemma":[0.5122355,0.003338798,0.450756,0.0004126663,0.0002184965,0.0002348903,0.0004626065,0.0006476821,0.03169338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005391756,"threshold_uncertainty_score":0.0180372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042835007762545,"score_gpt":0.2410460739728577,"score_spread":0.2306177238952323,"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."}}