{"id":"W1970759125","doi":"10.1007/s00024-012-0588-z","title":"The Monitoring Network of the Vancouver 2010 Olympics","year":2012,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université du Québec à Montréal; University of Manitoba; Environment and Climate Change Canada","funders":"","keywords":"Ceilometer; Environmental science; Nowcasting; Meteorology; Rain gauge; Radar; Snow; Remote sensing; Weather radar; Anemometer; Disdrometer; Lidar; Precipitation; Weather station; Visibility; Wind profiler; Wind speed; Geology; Geography; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006121283,0.0004849762,0.0003274638,0.001731263,0.001045504,0.001387599,0.0007196146,0.0003992152,0.01401094],"category_scores_gemma":[0.002162928,0.0002760963,0.0001480097,0.003370189,0.0001532047,0.0004213443,0.0007219043,0.0005879803,0.005008768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003671699,"about_ca_system_score_gemma":0.01124587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8675584,"about_ca_topic_score_gemma":0.9370992,"domain_scores_codex":[0.9994866,0.0000797342,0.00002440996,0.0001202455,0.0002008651,0.00008817106],"domain_scores_gemma":[0.9978008,0.00006144399,0.0001503304,0.0001263399,0.00148971,0.0003713754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003466426,0.0001473699,0.1469168,0.0001952796,0.00009489388,0.00009108162,0.000283647,0.006571885,0.0005594291,0.002474261,0.7523848,0.08993402],"study_design_scores_gemma":[0.00008941038,0.0000523152,0.4009652,0.000175792,0.00003876163,0.00004237431,0.0007619719,0.02102455,0.0007953352,0.001020183,0.5749989,0.00003521124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1467797,0.001045827,0.006861913,0.00257087,0.0008065944,0.000804163,0.6576045,0.001668115,0.1818583],"genre_scores_gemma":[0.320796,0.001078023,0.01108578,0.0004391817,0.0001511127,0.0007359441,0.4052601,0.0006845958,0.2597693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1324416,"threshold_uncertainty_score":0.2664431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444812254008509,"score_gpt":0.1952137931699409,"score_spread":0.1807656706298558,"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."}}