{"id":"W2612685475","doi":"","title":"Precipitable Water Vapour Monitoring Using the Global Positioning System in Atlantic Canada","year":2004,"lang":"en","type":"article","venue":"Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004)","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Precipitable water; Climatology; Meteorology; Environmental science; Remote sensing; Oceanography; Geography; Geology; Water vapor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0002783405,0.000216505,0.0002747848,0.0009996135,0.001638622,0.0009457015,0.000861856,0.0003602851,0.001142152],"category_scores_gemma":[0.0008306436,0.0001907499,0.0001747018,0.002517166,0.0003356017,0.0003471699,0.0004862791,0.0004041488,0.0002068437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365511,"about_ca_system_score_gemma":0.02178578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963313,"about_ca_topic_score_gemma":0.9989272,"domain_scores_codex":[0.9997205,0.00001281618,0.00001223698,0.00004232711,0.0001418969,0.00007014164],"domain_scores_gemma":[0.9989022,0.00004283545,0.0000504417,0.00001677037,0.0008659014,0.0001218009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002774851,0.00009537832,0.9339557,0.0001158307,0.0001260404,0.0004853263,0.001782168,0.00383732,0.009210227,0.0007217011,0.006326096,0.04306672],"study_design_scores_gemma":[0.0000231761,0.00002370151,0.9846526,0.00002500165,0.00004642164,0.00004397104,0.001644424,0.005362824,0.001560999,0.00006594286,0.006526543,0.00002436052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849102,0.0003768025,0.0004182007,0.0004926141,0.00002990298,0.00004810548,0.003904189,0.00006136663,0.009758716],"genre_scores_gemma":[0.9916227,0.0003818831,0.001031167,0.00008078867,0.000008246661,0.00001330279,0.001509707,0.00001685828,0.005335295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365511,"threshold_uncertainty_score":0.09907526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178746036723374,"score_gpt":0.2245195139563332,"score_spread":0.2127320535890994,"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."}}