{"id":"W6913196547","doi":"10.5683/sp2/wrwjaz","title":"MATLAB code for firn thermodynamic and hydrological modelling","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Firn; Snow; Longwave; Climate model; Albedo (alchemy); Glacier; Precipitable water; Snowmelt","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":[0.001015083,0.00156339,0.001221874,0.00131174,0.000488551,0.0014221,0.00277428,0.001004797,0.1814403],"category_scores_gemma":[0.004902851,0.0006844662,0.0009849989,0.002721665,0.0002813516,0.001248995,0.001120313,0.001314508,0.1636839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296936,"about_ca_system_score_gemma":0.001469118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287852,"about_ca_topic_score_gemma":0.02074094,"domain_scores_codex":[0.9993581,0.0001121938,0.00007154101,0.0002060152,0.0001904047,0.00006172516],"domain_scores_gemma":[0.9986225,0.0005495588,0.0001057338,0.0003123564,0.0003375211,0.00007236166],"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":[0.00006339625,0.00002323549,0.0007252072,0.0003780683,0.00003657432,0.00003235044,0.00001905051,0.005424074,0.0002189471,0.001613315,0.9779307,0.01353511],"study_design_scores_gemma":[0.0003944939,0.00003598784,0.002719613,0.0003018088,0.0000434307,0.0001348397,0.00003548918,0.02520006,0.001562289,0.01760096,0.9519053,0.00006570065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0005302762,0.0001504888,0.0073251,0.0001820463,0.00009363805,0.00005524323,0.9710177,0.01547125,0.005174322],"genre_scores_gemma":[0.003148676,0.0001780885,0.01459748,0.0002457767,0.00003030276,0.0004938556,0.9728268,0.004603267,0.003875692],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1814403,"threshold_uncertainty_score":0.6069782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935812857084264,"score_gpt":0.2811270983509412,"score_spread":0.2417689697800986,"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."}}