{"id":"W6943770903","doi":"10.1594/pangaea.938695","title":"Debris Emergence Elevations Geodatabase","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Heat Transfer and Mathematical Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glacier; Elevation (ballistics); Debris; Glacier mass balance; Shuttle Radar Topography Mission; Snow; Meltwater; Accumulation zone; Digital elevation model; Terminal moraine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005379338,0.00130237,0.0008787129,0.00293661,0.0005112898,0.001390783,0.001562659,0.001050826,0.03076259],"category_scores_gemma":[0.002510424,0.0003697287,0.0006848567,0.005600513,0.0002782145,0.001053708,0.001185868,0.0011481,0.04591615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196825,"about_ca_system_score_gemma":0.001614088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02500416,"about_ca_topic_score_gemma":0.0473986,"domain_scores_codex":[0.9994461,0.00006566977,0.00007913238,0.0001746397,0.0001547892,0.00007966742],"domain_scores_gemma":[0.9989807,0.0001986952,0.0001347803,0.000202671,0.000397884,0.00008521638],"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":[0.00005388247,0.00003461667,0.00385931,0.000515771,0.00003084658,0.00004719155,0.00005610242,0.0008238311,0.00020237,0.001146688,0.9876359,0.005593313],"study_design_scores_gemma":[0.0000716693,0.00001090502,0.008914809,0.0001826191,0.00001768399,0.00006482808,0.0001514654,0.0008483295,0.0003979293,0.001228927,0.9880833,0.00002751475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002761235,0.00003708258,0.00007158265,0.00002878288,0.00001062886,0.000005882034,0.998838,0.0001557568,0.0005761231],"genre_scores_gemma":[0.0005811377,0.00003481059,0.0002453043,0.00001773778,0.000002890134,0.00003591074,0.9987382,0.00002863272,0.00031542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03076259,"threshold_uncertainty_score":0.1029111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0658521878354898,"score_gpt":0.3185426400622775,"score_spread":0.2526904522267877,"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."}}