{"id":"W2406569446","doi":"10.1139/as-2015-0026","title":"Influence of Hudson Bay on the carbon dynamics of a Hudson Bay Lowlands coastal site","year":2016,"lang":"en","type":"article","venue":"Arctic Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Aboriginal Affairs and Northern Development Canada; Churchill Northern Studies Centre; York University; ArcticNet","keywords":"Bay; Environmental science; Submarine pipeline; Advection; Eddy covariance; Photosynthetically active radiation; Ecosystem respiration; Plateau (mathematics); Oceanography; Ecosystem; Atmospheric sciences; Climatology; Geology; Photosynthesis; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009093761,0.0001281004,0.0001779549,0.00006402158,0.000131095,0.0000125601,0.0006751208,0.00004908658,0.000240806],"category_scores_gemma":[0.000421314,0.00006690309,0.0000460942,0.0005800179,0.001850807,0.0001854664,0.000324164,0.00008737673,0.00004360953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278223,"about_ca_system_score_gemma":0.00005259901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072055,"about_ca_topic_score_gemma":0.002090314,"domain_scores_codex":[0.99835,0.0000543111,0.000253371,0.000373059,0.0005769596,0.0003923576],"domain_scores_gemma":[0.9988341,0.0003717216,0.0001805255,0.0004766797,0.00003576058,0.0001012545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002757938,0.00005357475,0.9375519,0.000005204161,0.000002918749,0.000002524634,0.0002779425,0.0005971355,0.05929554,0.001191764,0.00001949142,0.0009744418],"study_design_scores_gemma":[0.0003322196,0.0003951254,0.9830918,0.00006828417,0.00000911319,0.00001099017,0.00005773027,0.006414951,0.008309865,0.00110087,0.00008189782,0.0001271777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922647,0.000003704834,0.00007557527,0.001144411,0.00007572667,0.0001286239,0.00001622742,0.00001085749,0.006280156],"genre_scores_gemma":[0.9994637,0.00001897348,0.00009260742,0.0001612635,0.00001260198,0.000007893739,0.000001083818,0.000005937816,0.0002359868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05098567,"threshold_uncertainty_score":0.6819378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005794070760079834,"score_gpt":0.2101520220596317,"score_spread":0.2043579512995518,"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."}}