{"id":"W2964965624","doi":"","title":"Automation of Deformation Monitoring Techniques and Integration with Prediction Modelling","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Deformation monitoring; Deformation (meteorology); Geography; Computer science; Cartography; Engineering; Data mining; Meteorology; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009818853,0.00006270346,0.00007559107,0.0000813842,0.00004776468,0.00003402479,0.0001074727,0.00002453733,0.000001290372],"category_scores_gemma":[0.000002480368,0.00005192918,0.00001017786,0.0001812948,0.00001372923,0.0007140799,0.00003365093,0.00004520086,0.000004256597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002355353,"about_ca_system_score_gemma":0.00001122324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000494476,"about_ca_topic_score_gemma":1.495072e-7,"domain_scores_codex":[0.9994617,0.00001071557,0.0001864311,0.0001240517,0.0001502628,0.00006683896],"domain_scores_gemma":[0.999546,0.00003399938,0.0001232003,0.000175614,0.0001018884,0.00001931875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002012896,0.0001042845,0.001635049,0.000198212,0.00002155761,5.489541e-7,0.001450237,0.07679144,0.01547748,0.6169842,0.00002074675,0.2872961],"study_design_scores_gemma":[0.00008596524,0.0001625994,0.0007709399,0.0001179209,0.000003370254,0.00001480066,0.00003025678,0.9319988,0.03450373,0.03218163,0.00006809348,0.00006192211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234235,0.0000101787,0.8750352,0.00009163556,0.00001534627,0.0002659743,0.00000117186,0.0002367384,0.0009201899],"genre_scores_gemma":[0.556519,0.000008796014,0.4434095,0.000003407248,0.000009051533,0.00003208198,0.00000398767,0.00000233484,0.00001183547],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8552073,"threshold_uncertainty_score":0.211761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058524383883649,"score_gpt":0.2377213810857124,"score_spread":0.2271361372468759,"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."}}