{"id":"W2070520524","doi":"10.1007/s11629-012-2377-7","title":"Relationships between landslide types and topographic attributes in a loess catchment, China","year":2012,"lang":"en","type":"article","venue":"Journal of Mountain Science","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Landslide; Geology; Loess; Landslide classification; Terrain; Digital elevation model; Mass movement; Geomorphology; Natural hazard; Elevation (ballistics); Physical geography; Geographic information system; Cartography; Remote sensing; Geography","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":[0.0004564062,0.0003422809,0.000404579,0.001903173,0.0008768264,0.0008437873,0.0006267534,0.0003084895,0.001158584],"category_scores_gemma":[0.0007077098,0.0003728399,0.0005738197,0.002214857,0.0008837465,0.0004243064,0.000647968,0.0002824749,0.0001239044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158909,"about_ca_system_score_gemma":0.001912427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1754408,"about_ca_topic_score_gemma":0.2550038,"domain_scores_codex":[0.9996544,0.0000496072,0.00003652277,0.00009463687,0.00005008986,0.0001148235],"domain_scores_gemma":[0.9992068,0.0001548298,0.0001731228,0.00005245321,0.0001357352,0.0002770301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006371542,0.00005662537,0.9973821,0.000005169395,0.00006100852,0.0002042566,0.0004451372,0.0002380956,0.0005285772,0.0000496647,0.00005360631,0.0009119896],"study_design_scores_gemma":[0.000004642113,0.00001671034,0.998809,0.00000117829,0.00001562272,0.00003260535,0.0005300011,0.0005068286,0.00002457585,0.0000232516,0.00003193624,0.000003706897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998645,0.000007775445,0.00001226775,0.000008110529,3.237159e-7,0.000001402108,0.00004027292,0.0000011266,0.00006418707],"genre_scores_gemma":[0.9997467,0.00001050037,0.00001583205,0.000004077571,0.000001200495,0.000002305966,0.0001067525,6.440638e-7,0.0001119019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1754408,"threshold_uncertainty_score":0.3488393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893658697401488,"score_gpt":0.2590545413218419,"score_spread":0.240117954347827,"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."}}