{"id":"W4393751823","doi":"10.5281/zenodo.7391884","title":"A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biogeochemical cycle; Flux (metallurgy); Carbon flux; Environmental science; Oceanography; Atmospheric sciences; Climatology; Geology; Chemistry; Ecosystem; Ecology; Biology; Environmental chemistry","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":[0.0005584743,0.001186492,0.0007663859,0.0007349791,0.0005519642,0.0008862511,0.002820949,0.00153585,0.02512324],"category_scores_gemma":[0.00133871,0.0006718663,0.00134389,0.001575679,0.0002792724,0.0007011417,0.00116883,0.001735771,0.01758402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102589,"about_ca_system_score_gemma":0.00154559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07468227,"about_ca_topic_score_gemma":0.1539201,"domain_scores_codex":[0.9997842,0.00003905246,0.00001920772,0.00005966966,0.00005946333,0.00003841592],"domain_scores_gemma":[0.9995622,0.00009906131,0.00003383179,0.0001195224,0.0001170371,0.00006835402],"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":[0.0001797253,0.0001482668,0.005712474,0.0005789556,0.0002441567,0.0001080593,0.00006437326,0.02549898,0.0009710576,0.002781696,0.9551499,0.008562365],"study_design_scores_gemma":[0.001800483,0.00008612017,0.02900105,0.0004832392,0.0001748618,0.0001437123,0.0002302634,0.09019566,0.001855707,0.009745841,0.8661224,0.0001607374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002599086,0.00009547525,0.001075314,0.0002177377,0.00006557396,0.00003315358,0.9926873,0.001465759,0.001760607],"genre_scores_gemma":[0.005634075,0.00007728273,0.002769419,0.0001035657,0.000009656945,0.0001330996,0.9902738,0.0002340536,0.0007651333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07468227,"threshold_uncertainty_score":0.1484951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740973827948586,"score_gpt":0.2308161586299411,"score_spread":0.2034064203504553,"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."}}