{"id":"W4200549059","doi":"10.5194/bg-18-6271-2021","title":"A modelling study of temporal and spatial <i>p</i> CO <sub>2</sub> variability on the biologically active and temperature-dominated Scotian Shelf","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dalhousie University; McGill University; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Marine Environmental Observation Prediction and Response Network","keywords":"Upwelling; Oceanography; Environmental science; Surface water; Latitude; Ocean acidification; pCO2; Continental shelf; Atmospheric sciences; Climate change; Climatology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002783095,0.0004809076,0.0002856086,0.0003127792,0.0004687731,0.0009208039,0.0007562231,0.000698472,0.001202827],"category_scores_gemma":[0.0005905204,0.0003543688,0.000677212,0.0004384932,0.0004409384,0.0003275309,0.0003320353,0.0004374353,0.0001355965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151336,"about_ca_system_score_gemma":0.001428355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4298368,"about_ca_topic_score_gemma":0.2841646,"domain_scores_codex":[0.9999235,0.00001783885,0.000004385106,0.00002453509,0.000009441633,0.00002028991],"domain_scores_gemma":[0.9996816,0.0001046569,0.00006503705,0.00002939442,0.00006058166,0.00005877317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001519524,0.00007504121,0.06552239,0.00002946435,0.0001304535,0.0002930471,0.00004808994,0.9285249,0.002771916,0.0005732755,0.0004827086,0.001396644],"study_design_scores_gemma":[0.00002222382,0.00003141068,0.02222035,0.000004136816,0.00002313877,0.00001665084,0.00004542413,0.9771145,0.0002171549,0.00007785467,0.0002184494,0.000008668678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976835,0.00006216974,0.0007470906,0.000089562,0.000009291705,0.000007549767,0.0003858407,0.00002921533,0.0009856647],"genre_scores_gemma":[0.9990707,0.00003168015,0.0003848964,0.000009836765,0.000003623672,0.000006302931,0.0001863644,0.00000586461,0.0003007498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4298368,"threshold_uncertainty_score":0.8546697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460664735883784,"score_gpt":0.2036697127608528,"score_spread":0.189063065402015,"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."}}