{"id":"W4407017582","doi":"10.52202/078572-0058","title":"A Novel Method for Geospatially Organizing and Integrating IMU Bending Strain Feature Data to Optimize Geohazard Threat Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Geohazard; Inertial measurement unit; Computer science; Feature (linguistics); Artificial intelligence; Geology; Geotechnical engineering; Landslide","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":[0.0005575645,0.001123683,0.0009693654,0.002179952,0.000667755,0.001436749,0.001639023,0.0008455036,0.002422597],"category_scores_gemma":[0.001282763,0.0006047884,0.0008754102,0.002385946,0.0004264359,0.001084632,0.001331959,0.0008486976,0.001262052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004145267,"about_ca_system_score_gemma":0.001346946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092485,"about_ca_topic_score_gemma":0.02384863,"domain_scores_codex":[0.9994886,0.00004217643,0.00002846771,0.0001572029,0.0002231527,0.00006033204],"domain_scores_gemma":[0.9994668,0.00009710527,0.00005458479,0.0000765566,0.0002682329,0.00003671548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001365004,0.0002077907,0.002655176,0.0001042718,0.0001469424,0.0000910052,0.0001288945,0.03939117,0.05727866,0.003500198,0.006725375,0.8896341],"study_design_scores_gemma":[0.00002258913,0.00005616842,0.00234392,0.00001137974,0.00005298683,0.0001531017,0.00008005046,0.9649174,0.02252222,0.002615701,0.007183435,0.0000411175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006343857,0.0001038767,0.9915578,0.00007151716,0.00005855582,0.0000551906,0.0001967605,0.001096497,0.0005158955],"genre_scores_gemma":[0.05391093,0.00011975,0.9424008,0.00007089408,0.00007199003,0.00009989471,0.0006645554,0.0002296609,0.002431661],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01092485,"threshold_uncertainty_score":0.0217225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146224776280549,"score_gpt":0.2955097010591352,"score_spread":0.2740474532963297,"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."}}