{"id":"W4386149781","doi":"10.29169/1927-5129.2023.19.13","title":"Methods of Cluster Analysis for Detection of Uniform Displacement Zones of Landslides and Anti-Landslide Structures","year":2023,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Cluster analysis; Geospatial analysis; Data mining; Centroid; Similarity (geometry); Displacement (psychology); Computer science; Cluster (spacecraft); Identification (biology); Scale (ratio); Geology; Geography; Cartography; Artificial intelligence; Remote sensing; Geotechnical engineering; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00445595,0.001403185,0.00117273,0.00867775,0.001600702,0.002353505,0.001648364,0.000922453,0.001986959],"category_scores_gemma":[0.009853293,0.0004922785,0.001591218,0.006878271,0.001102456,0.001429782,0.001127963,0.001184964,0.0008652544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385577,"about_ca_system_score_gemma":0.002576265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008647725,"about_ca_topic_score_gemma":0.006680559,"domain_scores_codex":[0.9950017,0.001461078,0.0004155851,0.001063527,0.001783126,0.0002748949],"domain_scores_gemma":[0.9944859,0.002079359,0.0005832904,0.0005105282,0.002212491,0.0001283839],"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":[0.0005302087,0.0003042712,0.02386489,0.001645538,0.0009841046,0.0004283866,0.003218157,0.1031683,0.01898876,0.05156293,0.01331361,0.7819909],"study_design_scores_gemma":[0.0001019711,0.0002954721,0.04682698,0.0003392793,0.0004712926,0.0009562396,0.002624793,0.83498,0.02567975,0.05030691,0.03697956,0.000437744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01160257,0.0006614685,0.9839756,0.0001308286,0.00006796521,0.0003452705,0.0003845777,0.0008907388,0.001940812],"genre_scores_gemma":[0.1319952,0.0006832152,0.8636737,0.00004050768,0.00006333442,0.0007079887,0.0008788587,0.0001983989,0.001758817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00867775,"threshold_uncertainty_score":0.02356559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685072804099043,"score_gpt":0.2962453765555948,"score_spread":0.2793946485146044,"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."}}