{"id":"W1529961032","doi":"10.1007/3-540-45424-1_10","title":"A Virtual Test Bed in Support of Cognitively-Aware Geomatics Technologies","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Géomatique du Québec; Université Laval","funders":"","keywords":"Computer science; Geomatics; Turing test; Categorization; Test (biology); Spatial cognition; Scope (computer science); Human–computer interaction; Geographic information system; Virtual reality; Data science; Artificial intelligence; Cognition; Programming language","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":[0.0004684466,0.0007576582,0.0004707167,0.0003458999,0.0004676589,0.0008727933,0.002795389,0.0006622412,0.008650653],"category_scores_gemma":[0.001385008,0.0003038174,0.0002744413,0.0003312973,0.0004484135,0.0009626453,0.00130874,0.0003971158,0.001344702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013834,"about_ca_system_score_gemma":0.0004789597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002612085,"about_ca_topic_score_gemma":0.001963158,"domain_scores_codex":[0.999622,0.0001458241,0.00001922672,0.00005896874,0.00009293397,0.00006108235],"domain_scores_gemma":[0.9987912,0.0004375356,0.00004723059,0.0002453781,0.0001824551,0.0002962895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01186603,0.006113269,0.01085967,0.00134545,0.0003812535,0.003026588,0.002430567,0.1402279,0.4361109,0.01099371,0.04441582,0.332229],"study_design_scores_gemma":[0.001574736,0.01295085,0.01520693,0.0001033974,0.0004583414,0.001294834,0.00136419,0.6301522,0.2577935,0.007635632,0.07122944,0.0002358254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7372765,0.0003376127,0.2306007,0.000367642,0.0003867595,0.0008842617,0.002257115,0.01354736,0.01434204],"genre_scores_gemma":[0.8954959,0.0001733656,0.09269462,0.000128663,0.00002748755,0.0005823657,0.002292227,0.0004459174,0.00815942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008650653,"threshold_uncertainty_score":0.02893937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091706283206981,"score_gpt":0.2707546974414017,"score_spread":0.2498376346093319,"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."}}