{"id":"W2054381637","doi":"10.1016/s0165-232x(03)00077-6","title":"A snow-profile-based forecasting model for skier-triggered avalanches on surface hoar layers in the Columbia Mountains of Canada","year":2003,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Mount Revelstoke National Park","funders":"","keywords":"Snowpack; Snow; Slab; Geology; Shear (geology); Surface layer; Meteorology; Climatology; Environmental science; Layer (electronics); Geomorphology; Materials science; Geophysics; Geography","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":[0.0005103371,0.00007493768,0.0001371155,0.00006409251,0.000605562,0.00002824725,0.0002681822,0.00005313534,0.000008896255],"category_scores_gemma":[0.000634496,0.00005997044,0.00001679875,0.00147911,0.0006461003,0.00005474436,0.000009157251,0.00009124704,2.639649e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002375798,"about_ca_system_score_gemma":0.0009421979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06750297,"about_ca_topic_score_gemma":0.7397227,"domain_scores_codex":[0.9990638,0.00001585431,0.0001492361,0.0002321801,0.0002115058,0.0003273723],"domain_scores_gemma":[0.9992217,0.0003452623,0.00007458142,0.0002040863,0.0001192692,0.0000351257],"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":[0.0000465949,0.0001316336,0.7604703,0.0000723359,0.00002355219,0.00001864707,0.001156777,0.1583193,0.0006884988,0.05481559,0.01612571,0.008131046],"study_design_scores_gemma":[0.0005728106,0.00024397,0.01865073,0.00004273898,0.00001192531,0.000006621402,0.005746843,0.9646912,0.000515954,0.003358332,0.005971653,0.0001871722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949928,0.0002120226,0.0005443874,0.002844333,0.00007201832,0.0004283884,0.00004798579,0.00001540358,0.0008426484],"genre_scores_gemma":[0.9972863,0.00002251554,0.002208318,0.0002935056,0.000003561002,0.00000894284,0.000002448784,0.000001710897,0.0001726742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8063719,"threshold_uncertainty_score":0.9387066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361904507425858,"score_gpt":0.2133247684844118,"score_spread":0.177134317741826,"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."}}