{"id":"W6924998708","doi":"10.1594/pangaea.942269","title":"Snow profiles from Hansbreen (Hans Glacier, Svalbard) in 2011","year":2022,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Snowpack; Visualization; JSON; Software; Snow cover; Snowmelt; File format","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005103939,0.001416838,0.001187792,0.002526923,0.0005467607,0.001254327,0.001552451,0.00110848,0.0141976],"category_scores_gemma":[0.001894234,0.0004259396,0.0008619122,0.003954825,0.0002797863,0.0007754908,0.001024621,0.0008468683,0.02528764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278446,"about_ca_system_score_gemma":0.00166289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0614754,"about_ca_topic_score_gemma":0.1319203,"domain_scores_codex":[0.9994624,0.00005569125,0.00006605853,0.0001639952,0.00016398,0.00008789465],"domain_scores_gemma":[0.999388,0.0001172598,0.00006733886,0.0001333121,0.00022883,0.00006524783],"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":[0.00009010553,0.00004391653,0.00383186,0.0007035036,0.0000643704,0.00008767844,0.00006882038,0.001500836,0.0002457598,0.0005734392,0.9863267,0.006462944],"study_design_scores_gemma":[0.0001296704,0.00002255286,0.02548482,0.0004832642,0.00004721054,0.0001342721,0.0002458608,0.001922689,0.0009043542,0.001189245,0.9693852,0.00005073741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001166962,0.0001065636,0.0001153974,0.0000433558,0.0000232118,0.000009379471,0.9974161,0.0002916775,0.0008271653],"genre_scores_gemma":[0.001053742,0.00005033987,0.0002315687,0.00001312698,0.000003809757,0.00002465056,0.9981441,0.00003324411,0.0004453632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0614754,"threshold_uncertainty_score":0.1222351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0623239679060151,"score_gpt":0.2803273877280108,"score_spread":0.2180034198219957,"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."}}