{"id":"W4392661978","doi":"10.5194/egusphere-egu24-19594","title":"Snowpack Stability Prediction with Machine Learning","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Snowpack; Stability (learning theory); Artificial intelligence; Machine learning; Computer science; Environmental science; Snow; Meteorology; Physics","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":[0.001075365,0.001392006,0.0009318672,0.001589035,0.0004285653,0.001150018,0.001833499,0.001242513,0.002032806],"category_scores_gemma":[0.004712394,0.0005613859,0.001386364,0.0014359,0.0004318354,0.001267275,0.001017911,0.001947004,0.001425897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751369,"about_ca_system_score_gemma":0.0007114178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0082468,"about_ca_topic_score_gemma":0.007853143,"domain_scores_codex":[0.9995118,0.0001035754,0.00004335547,0.0001962795,0.00007975933,0.00006520939],"domain_scores_gemma":[0.9981014,0.001102465,0.000161524,0.0001680122,0.000388938,0.00007754679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001149239,0.0002577708,0.01303132,0.000109939,0.0001558585,0.00007597007,0.00005179345,0.7785627,0.001151159,0.0005855394,0.004174394,0.2017286],"study_design_scores_gemma":[0.000003409725,0.000009874086,0.0006072357,0.000006448831,0.000004081787,0.00000479039,0.000005233236,0.9979268,0.0002781441,0.0009273838,0.0002222115,0.000004401929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1914336,0.002039548,0.7895286,0.001134342,0.00031856,0.0002461463,0.002950915,0.008469806,0.003878372],"genre_scores_gemma":[0.8606272,0.0003568247,0.129966,0.0003605222,0.000244412,0.0002761802,0.005293043,0.0001616852,0.002714152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0082468,"threshold_uncertainty_score":0.0163976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872530086840134,"score_gpt":0.2111133852636005,"score_spread":0.1823880843951992,"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."}}