{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000132912,0.0001857264,0.0002680256,0.00004725665,0.00005296392,0.0001208828,0.0004739911,0.0001307842,0.0188449],"category_scores_gemma":[0.00005416514,0.0001902023,0.00005482232,0.0001440965,0.00001155821,0.0001412067,0.000114589,0.0002826964,0.001865588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001657413,"about_ca_system_score_gemma":0.0000684548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006996819,"about_ca_topic_score_gemma":0.0002758278,"domain_scores_codex":[0.9990851,0.00001560031,0.0002993586,0.000239397,0.0001390754,0.0002214431],"domain_scores_gemma":[0.9992589,0.00005024591,0.000008332639,0.0005351055,0.00003546117,0.0001119367],"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":[5.517873e-7,0.00002536576,5.82368e-8,0.0001170654,0.00003640754,0.00002565669,0.0000211989,0.0005828048,0.0001002639,0.000003028159,0.9929879,0.0060997],"study_design_scores_gemma":[0.00007301861,0.000004112447,2.928378e-7,0.0001726189,0.00007192204,0.000006081008,0.00002172627,0.002953422,0.000623109,0.0000328978,0.9958034,0.0002374317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001073122,0.0002612712,0.01299667,0.00002696569,0.0002675919,0.0002301636,0.984213,0.000004658144,0.001892355],"genre_scores_gemma":[0.00006357965,0.0005925734,0.008062399,0.00002317064,0.00007949819,0.00004445289,0.9909834,0.00002189677,0.0001290895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01697931,"threshold_uncertainty_score":0.9989116,"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."}}