{"id":"W7107873604","doi":"10.20383/103.01518","title":"Avalanche observation datasets, Glacier National Park, British Columbia, Canada.","year":2025,"lang":"","type":"dataset","venue":"Federated Research Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; National park; Snow cover; Column (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006460724,0.001656253,0.001270317,0.004245196,0.002126359,0.002281248,0.002483399,0.00112061,0.02570836],"category_scores_gemma":[0.003955896,0.0005840248,0.0007468053,0.01045008,0.0005728119,0.0009825367,0.001229932,0.001435889,0.02801494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006521,"about_ca_system_score_gemma":0.01830906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8941202,"about_ca_topic_score_gemma":0.9520111,"domain_scores_codex":[0.999154,0.00005043715,0.00007831379,0.0002075373,0.000347127,0.0001627418],"domain_scores_gemma":[0.9959467,0.0003503265,0.000171635,0.0004812027,0.002662302,0.0003877639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004287615,0.00002002993,0.001903997,0.0003279686,0.00001994742,0.0000240184,0.00003936117,0.0002925605,0.0001176662,0.0002766367,0.9937502,0.003184783],"study_design_scores_gemma":[0.0001038646,0.00001296753,0.03026532,0.0004708883,0.00004340576,0.00005370866,0.0003425895,0.001411188,0.0006829332,0.0006787339,0.9658631,0.00007134437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002782955,0.00005699386,0.00004361477,0.00004659145,0.00001555364,0.00001057884,0.9985409,0.0002303794,0.0007772887],"genre_scores_gemma":[0.0006737711,0.00006484387,0.0002213134,0.00001554257,0.000003476353,0.00003013416,0.998045,0.00003875773,0.0009071684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1058798,"threshold_uncertainty_score":0.2130066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087382855323145,"score_gpt":0.3635276937674915,"score_spread":0.254789408235177,"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."}}