{"id":"W2317128274","doi":"10.5897/sre.9000180","title":"Analysis of dam deformation measurements with the robust and non-robust methods","year":2010,"lang":"en","type":"article","venue":"Scientific Research and Essays","topic":"GNSS positioning and interference","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deformation (meteorology); Crest; Geodesy; Deformation monitoring; Geology; Global Positioning System; Research Object; Geotechnical engineering; Computer science; Geography; Oceanography; Telecommunications","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":[0.001582961,0.0005859729,0.0005309547,0.001579374,0.0002558883,0.0005493202,0.0004729403,0.0003768958,0.0009535962],"category_scores_gemma":[0.006673972,0.0002630025,0.0006005012,0.00136835,0.0005273459,0.0009584621,0.0005568601,0.0004007732,0.0003775505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288021,"about_ca_system_score_gemma":0.0005465218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484901,"about_ca_topic_score_gemma":0.00183235,"domain_scores_codex":[0.9983699,0.0003822717,0.0001119278,0.0002922583,0.0007631591,0.0000806193],"domain_scores_gemma":[0.9985544,0.0006152698,0.0002408944,0.0002032694,0.0003595544,0.00002650962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005518406,0.000167231,0.02198144,0.0002647099,0.000276178,0.0002006805,0.0004609231,0.1341065,0.08392953,0.006669854,0.0008638378,0.7505272],"study_design_scores_gemma":[0.00004362837,0.0003904004,0.05463732,0.00002200719,0.0000834662,0.0003049927,0.0001947596,0.8844252,0.0534947,0.003033883,0.003266201,0.0001034368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1137684,0.000143433,0.8841484,0.00005085712,0.00002020903,0.00003566869,0.0000985779,0.0004067817,0.001327708],"genre_scores_gemma":[0.6969308,0.0001257682,0.3011956,0.00002418679,0.00002865369,0.0000980235,0.000365606,0.00009728833,0.001133946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001582961,"threshold_uncertainty_score":0.008371592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101391026142133,"score_gpt":0.3494444133631399,"score_spread":0.2480533872210069,"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."}}