{"id":"W6943338105","doi":"10.1594/pangaea.964484","title":"Fraction of spectral solar radiance transmitted through snow and sea ice as measured in different depths under sea ice (transflectance) from ROV survey ARTofMELT2023/1_20-2 on 2023-05-19, survey 2","year":2024,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Radiance; Radiometer; Snow; Irradiance; Solar irradiance; Sea ice","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008122981,0.0004313131,0.0006382266,0.0003222616,0.001578809,0.001652981,0.0008116527,0.0004165459,0.0001181427],"category_scores_gemma":[0.0008002896,0.0004069681,0.0001032344,0.0006612385,0.0009141481,0.003518354,0.0003890406,0.0007312799,0.00001115355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696086,"about_ca_system_score_gemma":0.0002648583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9225299,"about_ca_topic_score_gemma":0.9344058,"domain_scores_codex":[0.9949394,0.001003305,0.0008008849,0.001089614,0.001199136,0.0009676216],"domain_scores_gemma":[0.9974684,0.00114713,0.0002733187,0.0006818039,0.00009111533,0.0003382837],"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":[0.0004654348,0.0001130669,0.003594716,0.0002851984,0.0001689202,0.000002288336,0.0006152223,0.00003498331,0.00002610909,0.000655635,0.9906445,0.003393948],"study_design_scores_gemma":[0.001145124,0.0001761974,0.02524089,0.0001937057,0.0001098631,0.000003081897,0.001475464,0.0005751202,0.00003645832,0.002909356,0.9676749,0.0004598324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02845699,0.001320036,0.003250937,0.0004353421,0.001572732,0.001838577,0.9629879,0.000022691,0.0001147846],"genre_scores_gemma":[0.05463032,0.005113837,0.0001966637,0.0001130345,0.0005575997,0.00008886989,0.9389586,0.00003843496,0.0003026463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02617333,"threshold_uncertainty_score":0.9998382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09958275509712244,"score_gpt":0.3451807176293499,"score_spread":0.2455979625322275,"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."}}