{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001644136,0.0002161216,0.0002088576,0.0001087305,0.0003232106,0.0003857045,0.0002989992,0.0001772754,0.0001181893],"category_scores_gemma":[0.00154352,0.0002661068,0.00003868758,0.0005176754,0.0002045654,0.0008815412,0.00009691741,0.0002042425,0.00001774755],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537038,"about_ca_system_score_gemma":0.02572642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0880998,"about_ca_topic_score_gemma":0.01646275,"domain_scores_codex":[0.9972211,0.001045495,0.0004063798,0.0004442483,0.0005203366,0.00036251],"domain_scores_gemma":[0.998388,0.0005599895,0.0001680459,0.0002576291,0.0003740813,0.0002522792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004413578,0.0001311268,0.0001486159,0.00004649102,0.00003521901,0.00001296767,0.00205449,0.0002768118,0.001549439,0.8431692,0.1485887,0.003982546],"study_design_scores_gemma":[0.0009754949,0.00005682025,0.0005696798,0.00007433709,0.00002684666,0.00009912699,0.0008794111,0.2997544,0.005700467,0.06050549,0.6308905,0.0004674006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0164801,0.001520673,0.8018151,0.06088017,0.001658592,0.0004344792,0.0002573152,0.0001699033,0.1167837],"genre_scores_gemma":[0.8316265,0.0006705355,0.06016686,0.009669844,0.0003733984,0.00002822879,0.0002249538,0.0000534219,0.09718623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8151464,"threshold_uncertainty_score":0.9999791,"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."}}