{"id":"W4393899155","doi":"10.1007/s11069-024-06536-x","title":"Introduction and testing of a cost-effective GNSS system for landslide monitoring","year":2024,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Klohn Crippen Berger (Canada); University of Alberta","funders":"","keywords":"GNSS applications; Landslide; Computer science; Remote sensing; Geology; Seismology; Global Positioning System; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738396,0.0001035393,0.0001407808,0.00003711739,0.0000875155,0.00004073185,0.00006125474,0.00008482007,0.00001469115],"category_scores_gemma":[0.00009136327,0.00007112694,0.00004897537,0.0002279002,0.00005399799,0.0001548073,0.0000634707,0.0001787026,0.00001406712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794757,"about_ca_system_score_gemma":0.000008667863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007687497,"about_ca_topic_score_gemma":0.00000408896,"domain_scores_codex":[0.9992421,0.0000208518,0.0001457831,0.0002591378,0.0001606468,0.0001714843],"domain_scores_gemma":[0.9996563,0.0001532254,0.00003824009,0.00008769889,0.0000206341,0.00004389927],"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":[0.0001011341,0.00001550707,0.0145085,0.0005266159,0.0000812455,0.00001455556,0.0004723199,0.0007537232,0.06146533,0.0002507086,0.001819406,0.919991],"study_design_scores_gemma":[0.003189176,0.00125246,0.1097432,0.0024435,0.0006512369,0.0008497371,0.001555258,0.2393013,0.4214676,0.0006577466,0.2174676,0.001421175],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924641,0.001900845,0.0004915289,0.0002539483,0.002472772,0.0009399633,0.00001837054,0.0001541171,0.001304331],"genre_scores_gemma":[0.9970331,0.00001659275,0.001810681,0.000003523299,0.000643067,0.00008327633,0.000004184698,0.00001393579,0.0003917064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9185697,"threshold_uncertainty_score":0.2900472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008408462223663132,"score_gpt":0.2493443996068676,"score_spread":0.2409359373832044,"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."}}