{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001073893,0.0001772692,0.0003015994,0.0004080511,0.0009846921,0.00009292104,0.0004878325,0.000287866,0.000008872707],"category_scores_gemma":[0.00004097705,0.0002035654,0.00007129883,0.0002863033,0.0002404092,0.001638864,0.0001164042,0.000203686,0.00000275963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007115668,"about_ca_system_score_gemma":0.0001816456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019005,"about_ca_topic_score_gemma":0.0005721775,"domain_scores_codex":[0.9989967,0.00003273514,0.0001742732,0.0002446602,0.00033222,0.0002194654],"domain_scores_gemma":[0.9986647,0.00007290183,0.0007580552,0.0003196134,0.0001382712,0.00004649119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000113419,0.0001465399,0.7670518,0.001037888,0.000428706,0.000007923936,0.02290747,0.00001620354,0.00006523662,0.1710218,0.008197591,0.0290055],"study_design_scores_gemma":[0.0005540869,0.00004127023,0.09003747,0.0003546472,0.00008891093,4.888145e-8,0.2468134,0.000002327499,0.0005881664,0.0003897174,0.6607279,0.0004020824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1456529,0.0003991735,0.004797891,0.03225569,0.001925497,0.003105495,0.0003038682,0.001945927,0.8096136],"genre_scores_gemma":[0.8510314,0.00553441,0.004644463,0.000004407222,0.0000803839,0.00001121931,0.0001957521,0.00002145087,0.1384765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7053785,"threshold_uncertainty_score":0.9964012,"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."}}