{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226486,0.001348953,0.001280843,0.001571056,0.0004322213,0.001714885,0.001533562,0.000875713,0.002877777],"category_scores_gemma":[0.003519299,0.0009087754,0.0007957011,0.00213452,0.0004729444,0.001580344,0.001719552,0.001245428,0.003172721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003347867,"about_ca_system_score_gemma":0.0009543711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387524,"about_ca_topic_score_gemma":0.003331917,"domain_scores_codex":[0.998293,0.0001957032,0.0001128837,0.0004212912,0.0008588035,0.0001183834],"domain_scores_gemma":[0.9983247,0.0003719293,0.0001657688,0.0006884972,0.0004143939,0.00003470889],"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":[0.00021612,0.000199486,0.005166697,0.0002013359,0.00007651292,0.0001477907,0.0002011369,0.08954845,0.08611491,0.007213221,0.007740831,0.8031735],"study_design_scores_gemma":[0.00003618088,0.00009901576,0.007734962,0.00004401867,0.00004670607,0.0002671239,0.00004675349,0.8740579,0.08312194,0.01288804,0.02158414,0.000073239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01334983,0.0002011685,0.9743085,0.0001399606,0.00006973733,0.00005507903,0.0003338157,0.009086149,0.00245582],"genre_scores_gemma":[0.3284711,0.000499099,0.6660451,0.0001334843,0.00009751008,0.0001183932,0.001695875,0.0008514808,0.002087973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004387524,"threshold_uncertainty_score":0.009627104,"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."}}