{"id":"W3163263663","doi":"10.1525/elementa.2020.00130","title":"Widespread surface water<i>p</i>CO2 undersaturation during ice-melt season in an Arctic continental shelf sea (Hudson Bay, Canada)","year":2021,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba; Université de Sherbrooke; University of Calgary","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro","keywords":"Bay; Oceanography; Sea ice; Environmental science; Upwelling; Arctic; Meltwater; Continental shelf; Arctic ice pack; Sink (geography); Arctic geoengineering; Climatology; Geology; Antarctic sea ice; Snow; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001000825,0.0002976478,0.0001655977,0.0006610829,0.0005818265,0.0005448566,0.0002047629,0.0001153306,0.0005788336],"category_scores_gemma":[0.0002100202,0.0001308575,0.0002436332,0.0009826092,0.0002721736,0.000202158,0.0003499063,0.0001365973,0.00009579152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223748,"about_ca_system_score_gemma":0.001602551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7326179,"about_ca_topic_score_gemma":0.7918875,"domain_scores_codex":[0.9999179,0.000003495221,0.000006602868,0.0000275552,0.00001977357,0.00002471597],"domain_scores_gemma":[0.9998241,0.00001118558,0.00005106971,0.000007071752,0.00006221572,0.00004443848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006298614,0.000008337288,0.9891551,0.00001977868,0.00004314438,0.00008361865,0.0002207929,0.0002681054,0.006818452,0.00002199062,0.0002914461,0.003006341],"study_design_scores_gemma":[7.809486e-7,0.000003433671,0.9992689,0.000001697456,0.000004816493,0.00001151997,0.0001002982,0.0001620002,0.0002881103,0.000002882403,0.0001541626,0.000001365864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985718,0.000104042,0.00007526637,0.00001851219,0.000003784138,0.00000283321,0.000661059,0.00001149224,0.0005511279],"genre_scores_gemma":[0.9989458,0.00007394866,0.0000992282,0.00001363596,0.00000288799,0.000003781262,0.0006348062,0.000002281375,0.0002238158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2673821,"threshold_uncertainty_score":0.5379134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008496170162863059,"score_gpt":0.2212110426200218,"score_spread":0.2127148724571587,"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."}}