{"id":"W2610833389","doi":"","title":"ADVANCEMENT, ASSESSMENT, AND APPLICATION OF NOVEL LANDSLIDE MONITORING TECHNOLOGIES","year":2017,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Computer science; Environmental science; Engineering; Remote sensing; Geology; Geotechnical engineering","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":[0.001233022,0.0004398207,0.0003092236,0.0008762752,0.0001682793,0.001025184,0.0006780034,0.000552451,0.0005052109],"category_scores_gemma":[0.000954637,0.0001651736,0.0001803118,0.0008190407,0.0003297243,0.0006681971,0.0003818919,0.0003647835,0.0001524463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00081469,"about_ca_system_score_gemma":0.0006543807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003423068,"about_ca_topic_score_gemma":0.01161974,"domain_scores_codex":[0.9992562,0.00007990123,0.000027311,0.0001047151,0.0004907072,0.00004118972],"domain_scores_gemma":[0.999007,0.0001347648,0.0002078088,0.00006818621,0.0005328074,0.00004942826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002057289,0.000343291,0.1485953,0.0008183358,0.00007647967,0.0002089852,0.000376983,0.01107411,0.3424543,0.001656023,0.0007361402,0.4934543],"study_design_scores_gemma":[0.00006719182,0.00434284,0.4362489,0.0003153267,0.0003344174,0.00133416,0.001465544,0.1001292,0.4126607,0.002162761,0.04079027,0.0001486885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107106,0.004051236,0.07593388,0.0004128126,0.00005267817,0.0001976925,0.0003663295,0.0002906643,0.007984126],"genre_scores_gemma":[0.8717917,0.003712906,0.121755,0.00005402308,0.00003410593,0.00006363411,0.0002241596,0.00001545309,0.002349138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003423068,"threshold_uncertainty_score":0.006806254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298267695416668,"score_gpt":0.2750017916451247,"score_spread":0.262019114690958,"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."}}