{"id":"W4318192227","doi":"10.1007/s10346-022-02012-4","title":"The SWADE model for landslide dating in time series of optical satellite imagery","year":2023,"lang":"en","type":"article","venue":"Landslides","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests","funders":"China Scholarship Council","keywords":"Landslide; Natural hazard; Geology; Normalized Difference Vegetation Index; Vegetation (pathology); Remote sensing; Hazard; Physical geography; Geography; Seismology; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007282234,0.0001150777,0.0001812331,0.00003531476,0.0001458143,0.00004928016,0.0002629393,0.00008287124,0.00006660113],"category_scores_gemma":[0.0001366142,0.00006785544,0.00007670443,0.0002782644,0.0001405364,0.0001545918,0.0001876806,0.000112888,0.0001607383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000028377,"about_ca_system_score_gemma":0.00001215905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002995552,"about_ca_topic_score_gemma":0.0001025804,"domain_scores_codex":[0.9988612,0.00002408403,0.0003042071,0.0002048646,0.0002244111,0.0003812383],"domain_scores_gemma":[0.99931,0.0003479745,0.00006835393,0.0002120985,0.000008093552,0.00005346283],"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":[0.001226489,0.0002110963,0.6573662,0.0002018044,0.0001494445,0.00008325272,0.00475856,0.137389,0.06223999,0.003135266,0.02486964,0.1083693],"study_design_scores_gemma":[0.00306325,0.0003106067,0.1408013,0.0002627132,0.00009423029,0.00003738349,0.0008803864,0.742189,0.02194379,0.0277123,0.06172286,0.0009821205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834588,0.0001709901,0.0008125797,0.001196355,0.0001149561,0.0004028748,0.00004221144,0.0001231134,0.01367818],"genre_scores_gemma":[0.9792215,0.000784091,0.0053188,0.00008025803,0.00006379563,0.00006257679,0.00006010121,0.0000363231,0.01437259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6048,"threshold_uncertainty_score":0.2767064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127973584349872,"score_gpt":0.2365882385746051,"score_spread":0.2237908801396179,"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."}}