{"id":"W3190357564","doi":"10.1080/19236026.2020.1733361","title":"Interpreting displacement data from complementary slope monitoring systems in extreme weather conditions","year":2020,"lang":"en","type":"article","venue":"CIM Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada)","funders":"","keywords":"Displacement (psychology); Radar; Work (physics); Environmental science; Continuous monitoring; Suspect; Computer science; Meteorology; Remote sensing; Engineering; Geology; Geography; Operations management; Telecommunications; Mechanical engineering","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":[0.001377134,0.0004513468,0.0004642657,0.002063471,0.000375642,0.0008551026,0.0004012645,0.0006870204,0.0009714915],"category_scores_gemma":[0.004777507,0.000239653,0.0002244816,0.002163803,0.0002990727,0.0005604874,0.0007216026,0.0003254383,0.0003631164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260084,"about_ca_system_score_gemma":0.0004011268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007618755,"about_ca_topic_score_gemma":0.01694578,"domain_scores_codex":[0.9990941,0.0002494815,0.00007269152,0.000150195,0.0003472986,0.00008626892],"domain_scores_gemma":[0.9975582,0.0008183206,0.0005808822,0.0002320704,0.0007025465,0.0001079214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009676707,0.0003488418,0.8119078,0.0002306335,0.0002648284,0.0006022752,0.001007428,0.02880888,0.0519071,0.0006545315,0.001780556,0.1015194],"study_design_scores_gemma":[0.00005007743,0.000547566,0.8494602,0.00005850409,0.0001406659,0.000370857,0.001568611,0.124063,0.02026573,0.000984221,0.002396819,0.0000938746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821713,0.0001079963,0.01345354,0.00008005276,0.00003171871,0.00006808064,0.001083884,0.0002122372,0.00279134],"genre_scores_gemma":[0.9874719,0.00004750451,0.01154936,0.00002227403,0.00001299205,0.00002580213,0.0005636595,0.00001354531,0.000292999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007618755,"threshold_uncertainty_score":0.01514882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1734455908845371,"score_gpt":0.3304280423036978,"score_spread":0.1569824514191607,"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."}}