{"id":"W6962104724","doi":"10.1594/pangaea.964509","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_22-5 on 2023-06-01, 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":"Chromatography in Natural Products","field":"Chemistry","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00371408,0.0008321846,0.001042202,0.000405922,0.0008184414,0.001386173,0.001397927,0.0007751685,0.0001488187],"category_scores_gemma":[0.0009249624,0.0007830425,0.0001940747,0.0008588895,0.001126743,0.002358525,0.0009012026,0.001982233,0.00001151751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185178,"about_ca_system_score_gemma":0.0001750467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7170995,"about_ca_topic_score_gemma":0.7422474,"domain_scores_codex":[0.993494,0.0004709344,0.0008803296,0.002506988,0.001314846,0.001332906],"domain_scores_gemma":[0.9961443,0.001398604,0.000269349,0.001674136,0.00007984378,0.0004337837],"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":[0.0008709811,0.0003592874,0.007014334,0.001093047,0.0004884957,0.00001448208,0.0000480913,0.00004395741,0.001234905,0.000031924,0.9866444,0.002156031],"study_design_scores_gemma":[0.002549096,0.0001984003,0.05280571,0.000792668,0.0003937847,0.00002553853,0.0001245446,0.001411416,0.001483826,0.002949229,0.9360598,0.001205937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1056292,0.008147322,0.0003518529,0.0002651768,0.001023947,0.001095187,0.8833988,0.00004069565,0.00004785333],"genre_scores_gemma":[0.07487869,0.008847423,0.0003341,0.00005612398,0.000700431,0.00007887596,0.9147298,0.0001008586,0.0002737127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05058461,"threshold_uncertainty_score":0.9996505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06433857667005828,"score_gpt":0.2947385014596282,"score_spread":0.2303999247895699,"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."}}