{"id":"W4404130576","doi":"10.1088/1748-9326/ad8fbe","title":"High-resolution geophysical monitoring of moisture accumulation preceding slope movement—a path to improved early warning","year":2024,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"British Geological Survey; Natural Environment Research Council; Sight Research UK; UK Research and Innovation","keywords":"Warning system; Environmental science; Path (computing); Movement (music); Remote sensing; Geology; Meteorology; Geodesy; Geophysics; Computer science; Geography; Physics; Telecommunications; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002443521,0.0001309356,0.0001172089,0.0003497716,0.0001042027,0.0003965181,0.000208468,0.0002917028,0.0006979823],"category_scores_gemma":[0.0003597107,0.0001060287,0.00005394325,0.0003507777,0.000220468,0.0004438702,0.0002950598,0.0003374197,0.0001343492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106341,"about_ca_system_score_gemma":0.0001175919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006978226,"about_ca_topic_score_gemma":0.002368071,"domain_scores_codex":[0.9999291,0.00001954866,0.000003586854,0.00001643439,0.0000212546,0.00001013721],"domain_scores_gemma":[0.9998052,0.00003709506,0.00005303006,0.0000321747,0.00005189765,0.00002069267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002576988,0.0002148466,0.2079045,0.0001368041,0.00007240668,0.0003319825,0.0002511946,0.02094568,0.568491,0.001258792,0.003566226,0.1965689],"study_design_scores_gemma":[0.00007411969,0.0005866927,0.6492472,0.00006839109,0.00008460013,0.0008176639,0.00106899,0.1998652,0.1277465,0.004850711,0.01546615,0.0001236899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534401,0.00038173,0.0405174,0.0009906696,0.00006566165,0.00002321975,0.0006026198,0.0004659892,0.003512636],"genre_scores_gemma":[0.9846198,0.00009429146,0.01478554,0.00005146004,0.00002180296,0.000005615458,0.0001089549,0.00001056602,0.0003018772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006979823,"threshold_uncertainty_score":0.002334952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079806872593181,"score_gpt":0.2907483189814777,"score_spread":0.2699502502555459,"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."}}