{"id":"W4393874090","doi":"10.5281/zenodo.2653248","title":"All observational data for the study \"Mixing, stratification and plankton under lake-ice: implications for summertime oxygen levels in the hypolimnion of a large lake\"","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; University of Toronto","funders":"","keywords":"Hypolimnion; Stratification (seeds); Plankton; Oceanography; Mixing (physics); Environmental science; Climatology; Geology; Thermal stratification; Ecology; Thermocline; Eutrophication; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008222939,0.001826179,0.001151074,0.002399454,0.0005829617,0.001182889,0.0018728,0.001357365,0.02559667],"category_scores_gemma":[0.003236658,0.0008190665,0.001153701,0.005830694,0.0003139719,0.0009054168,0.001573935,0.001078059,0.01638841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054816,"about_ca_system_score_gemma":0.003261918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09123951,"about_ca_topic_score_gemma":0.1201459,"domain_scores_codex":[0.9993348,0.0000749853,0.0001025877,0.0001784264,0.000160645,0.0001487016],"domain_scores_gemma":[0.9977624,0.0003427045,0.0005715641,0.0004279815,0.0006565053,0.0002388031],"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":[0.0001554199,0.00005594756,0.01294133,0.001215144,0.0001837517,0.00003928391,0.00009148795,0.0009498163,0.0003926251,0.0007571614,0.979008,0.004210146],"study_design_scores_gemma":[0.0006124842,0.00003859264,0.117254,0.0005922241,0.0001598045,0.00006896639,0.0002683204,0.001184606,0.0009978769,0.001400782,0.877342,0.0000802598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004280533,0.00001914097,0.00004660077,0.00002040735,0.00001050796,0.000005174027,0.9992036,0.00005045846,0.0002161134],"genre_scores_gemma":[0.001460237,0.00003324397,0.0002467848,0.00002488489,0.000006154926,0.00007171801,0.9975882,0.00002706175,0.0005418311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09123951,"threshold_uncertainty_score":0.1814169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2538014831936994,"score_gpt":0.3558908929994314,"score_spread":0.1020894098057321,"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."}}