{"id":"W4393003559","doi":"10.5194/nhess-24-947-2024","title":"Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada","year":2024,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Summit; Geospatial analysis; National park; Hazard map; Scale (ratio); Benchmark (surveying); Snow; Environmental science; Hazard; Remote sensing; Cartography; Computer science; Geography; Meteorology; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002098251,0.0009732262,0.0007294675,0.001938373,0.001817236,0.001458235,0.001666097,0.0004967732,0.001405145],"category_scores_gemma":[0.004817233,0.0004541797,0.0007069532,0.003349699,0.001087769,0.0005873448,0.0009036392,0.0005800447,0.0003473652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01789139,"about_ca_system_score_gemma":0.0145899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9728861,"about_ca_topic_score_gemma":0.9788814,"domain_scores_codex":[0.998828,0.0001633272,0.00004909522,0.0003008812,0.0004170742,0.0002415883],"domain_scores_gemma":[0.9968874,0.0005120178,0.0001536275,0.000255773,0.0019998,0.0001913905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005343563,0.0005305936,0.1561338,0.0002555865,0.0002727892,0.0002465461,0.0009261856,0.6061312,0.007884994,0.000977754,0.006106229,0.22],"study_design_scores_gemma":[0.00007897572,0.00008959207,0.1059801,0.00002530545,0.00005566422,0.00004128975,0.0009023169,0.8860211,0.00392884,0.0003490416,0.002470679,0.00005706768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825082,0.0001715419,0.01039948,0.000118774,0.00001200684,0.000191671,0.002192279,0.001071909,0.0033341],"genre_scores_gemma":[0.9664411,0.00008131158,0.02724081,0.00004297194,0.000003594083,0.00005990966,0.004209564,0.0001387459,0.001782053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02711391,"threshold_uncertainty_score":0.1298117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102497433182617,"score_gpt":0.2118834462131344,"score_spread":0.2016337028948727,"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."}}