{"id":"W4393553375","doi":"10.5281/zenodo.10469663","title":"Datasets to: Measurement report: Introduction to the HyICE-2018 campaign for the measurements of ice nucleating particles in the boreal forest of Hyytiälä","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Taiga; Boreal; Physical geography; Environmental science; Geography; Forestry; Remote sensing; Atmospheric sciences; Ecology; Biology; Geology; Archaeology","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":[0.001080977,0.001963858,0.001574103,0.002098203,0.0007346516,0.002065439,0.00283221,0.002172572,0.05517749],"category_scores_gemma":[0.004444747,0.0007859198,0.001295633,0.005425067,0.000478616,0.001791603,0.001729732,0.001863502,0.0964491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365017,"about_ca_system_score_gemma":0.00230474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02819537,"about_ca_topic_score_gemma":0.0293548,"domain_scores_codex":[0.9989356,0.0001696834,0.0001660913,0.0002893941,0.0002826992,0.0001564859],"domain_scores_gemma":[0.9978716,0.0003784029,0.0002197568,0.0005676032,0.0007835199,0.0001790373],"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":[0.00005369987,0.00002646882,0.001031355,0.0004377557,0.00003269461,0.00001849528,0.00001716099,0.0003318062,0.000149984,0.0002959818,0.9957235,0.001881047],"study_design_scores_gemma":[0.0003283594,0.00002134729,0.01161196,0.0002403559,0.00003611865,0.00006356553,0.00007592012,0.0007001053,0.0006570956,0.001236036,0.9849769,0.00005221582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001008993,0.00003050227,0.00007461162,0.00003771276,0.000022572,0.00001187969,0.9991036,0.0002927675,0.0003254414],"genre_scores_gemma":[0.0003271953,0.00002734141,0.0002260382,0.00002779662,0.00000835728,0.00005693229,0.9989616,0.00006969333,0.0002951346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05517749,"threshold_uncertainty_score":0.1845871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0934096361469172,"score_gpt":0.2665743975951505,"score_spread":0.1731647614482333,"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."}}