{"id":"W4321458697","doi":"10.5194/tc-2022-240-supplement","title":"Supplementary material to \"Biogeochemical evolution of ponded meltwater in a High Arctic subglacial tunnel\"","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; University of Alberta","funders":"","keywords":"Meltwater; Biogeochemical cycle; Arctic; Geology; Oceanography; The arctic; Earth science; Environmental science; Physical geography; Geomorphology; Glacial period; Geography; Ecology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000669286,0.00164248,0.001086953,0.001353792,0.0009360411,0.001066338,0.002603213,0.001111784,0.5126941],"category_scores_gemma":[0.002879309,0.000708204,0.0009928723,0.002183624,0.0001855216,0.0009058145,0.0009560889,0.0007155464,0.1212673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050659,"about_ca_system_score_gemma":0.001062677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416336,"about_ca_topic_score_gemma":0.01599613,"domain_scores_codex":[0.9996995,0.00003821004,0.00003487425,0.0000846168,0.0000955586,0.00004719831],"domain_scores_gemma":[0.9988719,0.0004390006,0.0001221898,0.0001781857,0.0002809597,0.0001077377],"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":[0.0002228587,0.0002152252,0.009691366,0.00201945,0.0001794113,0.0003575904,0.0001349241,0.02989104,0.006538277,0.00905387,0.9161416,0.02555431],"study_design_scores_gemma":[0.0006684255,0.0002091695,0.03690477,0.0006088206,0.0001299681,0.0003830727,0.0001619007,0.07795902,0.006536705,0.0232172,0.8530107,0.0002102862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004202689,0.0001000561,0.01058236,0.0001873113,0.0003899646,0.00007153485,0.9745288,0.003166657,0.006770517],"genre_scores_gemma":[0.03343546,0.0003544808,0.02819294,0.0003368659,0.0003998719,0.0006590349,0.9218982,0.003587855,0.01113535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5126941,"threshold_uncertainty_score":0.6950827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544088280167575,"score_gpt":0.2518791568439185,"score_spread":0.2164382740422427,"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."}}