{"id":"W4311473466","doi":"10.21203/rs.3.rs-2199608/v1","title":"Statistical analysis of the landslides triggered by the 2021 SW Chelgard earthquake (ML=6) using an automatic linear regression (LINEAR) and artificial neural network (ANN) model based on controlling parameters","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Landslide; Geology; Debris flow; Rockfall; Slump; Geotechnical engineering; Landslide classification; Debris; Fault (geology); Elevation (ballistics); Linear regression; Geomorphology; Seismology; Geometry; Geography; Mathematics","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":[0.0009884443,0.0004923773,0.000300676,0.0007894359,0.0001546741,0.0005338366,0.0003316066,0.0002709195,0.0008748861],"category_scores_gemma":[0.002539251,0.0001334617,0.0006150728,0.0004737037,0.0002251442,0.0004238746,0.0002773611,0.0003574271,0.0002151688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004824313,"about_ca_system_score_gemma":0.0003006198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008774969,"about_ca_topic_score_gemma":0.0092483,"domain_scores_codex":[0.9996347,0.0001152923,0.00003597034,0.0001026207,0.00007515023,0.00003618872],"domain_scores_gemma":[0.9985217,0.0008754557,0.0002422857,0.00009348761,0.0002122475,0.00005488588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004873411,0.0001625107,0.7574174,0.0001124707,0.0003400269,0.0003465965,0.0001999403,0.2014124,0.004517454,0.000340678,0.0007478521,0.03391538],"study_design_scores_gemma":[0.000009295659,0.0001591247,0.3145293,0.0000147555,0.00005612612,0.00006277824,0.0002082719,0.6833491,0.00117672,0.0001728875,0.0002383384,0.00002326721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945326,0.00004504127,0.004614099,0.00003589311,0.000009213632,0.00001103635,0.0002773193,0.0000703549,0.0004044319],"genre_scores_gemma":[0.9982657,0.00001607351,0.001149723,0.000003996521,0.000003425356,0.000009665002,0.0003666485,0.000004688994,0.0001802018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008774969,"threshold_uncertainty_score":0.01744777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0565898327704427,"score_gpt":0.3528931724803021,"score_spread":0.2963033397098593,"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."}}