{"id":"W2011081906","doi":"10.1109/ijcnn.2007.4370948","title":"Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting","year":2007,"lang":"en","type":"article","venue":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Virtual reality; Rough set; Visualization; Artificial neural network; Artificial intelligence; Fuzzy set; Set (abstract data type); Irreducibility; Theoretical computer science; Fuzzy logic; Data mining; Mathematics","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":[0.001327749,0.0005152826,0.0006257601,0.001865873,0.0004642321,0.002608017,0.0004935796,0.0007967633,0.001069714],"category_scores_gemma":[0.004506572,0.0003212843,0.0006114129,0.002268145,0.001977602,0.001758212,0.001644059,0.0009605578,0.0001435918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006750337,"about_ca_system_score_gemma":0.0004419041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252228,"about_ca_topic_score_gemma":0.001931275,"domain_scores_codex":[0.9992466,0.0004290596,0.00004606316,0.00005610719,0.0001912952,0.00003086671],"domain_scores_gemma":[0.998378,0.001118666,0.0001183151,0.0001537189,0.0001637943,0.00006747012],"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":[0.0002237373,0.00007561529,0.001944737,0.00045473,0.0001233595,0.0006665915,0.001464704,0.3938727,0.006407296,0.2322557,0.003294809,0.3592159],"study_design_scores_gemma":[0.00002563328,0.00004657732,0.001187239,0.00008116561,0.00002200677,0.0002925694,0.0005116772,0.7612512,0.003675252,0.2217516,0.01110163,0.00005354527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04381146,0.003297985,0.9436492,0.002025009,0.0001340439,0.0000879175,0.0001659526,0.0004902312,0.006338342],"genre_scores_gemma":[0.505825,0.002821356,0.4888305,0.0001374529,0.00009191805,0.0001498181,0.0001274953,0.00005245931,0.001964115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002608017,"threshold_uncertainty_score":0.007021904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07895144700656895,"score_gpt":0.3517915689843671,"score_spread":0.2728401219777982,"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."}}