{"id":"W80520121","doi":"","title":"Observation and modeling of a buried melt-freeze crust","year":2008,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Snowpack; Crust; Snow; Geology; Insolation; Temperature gradient; Atmospheric sciences; Geophysics; Climatology; Meteorology; Geomorphology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004673338,0.0001664552,0.0002976972,0.00008969829,0.00127307,0.0001014711,0.0001720163,0.0001008671,0.0000830986],"category_scores_gemma":[0.0002533663,0.0001318882,0.00006642853,0.0003467198,0.0003324264,0.0004596629,0.00005898816,0.000180193,0.000004138094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005814763,"about_ca_system_score_gemma":0.00009307156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153259,"about_ca_topic_score_gemma":0.01640738,"domain_scores_codex":[0.9984929,0.00003997651,0.0003182089,0.0003302711,0.000372985,0.0004456594],"domain_scores_gemma":[0.999078,0.0002216523,0.00006664852,0.0001927994,0.000259538,0.0001814009],"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":[0.0006862202,0.0001057042,0.9101142,0.0003797697,0.0001683658,0.00003489039,0.001718355,0.03744587,0.00004337382,0.007220131,0.01605345,0.02602966],"study_design_scores_gemma":[0.00150756,0.0004909983,0.4376495,0.00009275343,0.00002319283,0.00003403678,0.0008939565,0.5239494,0.00002263891,0.005231353,0.02979563,0.0003089806],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916425,0.003825391,0.001422284,0.0009241249,0.0001282926,0.0004799315,0.0002029378,0.0000344622,0.001340023],"genre_scores_gemma":[0.9944137,0.002349369,0.002088061,0.00006661439,0.0002088995,0.00001268142,0.0004760679,0.000008506194,0.0003760775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865036,"threshold_uncertainty_score":0.9950497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467550141861181,"score_gpt":0.3102185652431642,"score_spread":0.1634635510570461,"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."}}