{"id":"W7016094043","doi":"","title":"Virtualisation and Visualisation: Le conseil national de recherches Canada visualise le monde en 3D","year":2003,"lang":"fr","type":"article","venue":"NPARC","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Virtualization; Agency (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005076821,0.0009948418,0.00095692,0.002923318,0.002357661,0.01258021,0.001592802,0.001913814,0.02795126],"category_scores_gemma":[0.006388375,0.0007747554,0.001368662,0.003510506,0.002377796,0.003770082,0.003370676,0.002414262,0.004327907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008556365,"about_ca_system_score_gemma":0.01933971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5022721,"about_ca_topic_score_gemma":0.4095119,"domain_scores_codex":[0.9972438,0.0004001616,0.00006743571,0.0002354943,0.001770646,0.0002826373],"domain_scores_gemma":[0.9949514,0.0007593649,0.00008112581,0.0006256145,0.002922711,0.0006597618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004151257,0.0001338786,0.002894015,0.0007952984,0.00009839504,0.0002413966,0.004304271,0.02334873,0.02644611,0.216528,0.2494536,0.4753412],"study_design_scores_gemma":[0.00005689676,0.00004912578,0.003464247,0.0003877272,0.0000373341,0.0001793635,0.001167566,0.03579455,0.009590133,0.01592954,0.9332222,0.0001213299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0393959,0.01919524,0.5677712,0.02891187,0.006701901,0.0008544874,0.007651508,0.01637013,0.3131478],"genre_scores_gemma":[0.222486,0.01880592,0.4597603,0.001308561,0.0006882387,0.0004961923,0.007908569,0.008415609,0.2801305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5022721,"threshold_uncertainty_score":0.998697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0758067683733469,"score_gpt":0.3229581226137875,"score_spread":0.2471513542404406,"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."}}