{"id":"W4386092818","doi":"10.5194/bg-2023-132","title":"Linking northeastern North Pacific oxygen changes to upstream surface outcrop variations","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Directorate for Geosciences; National Science Foundation","keywords":"Thermocline; Outcrop; Oceanography; Mixed layer; Geology; Sea surface temperature; Climatology; Pacific decadal oscillation; Ocean gyre; Ocean current; Environmental science; Ocean heat content; Upwelling; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007858126,0.0001343607,0.0000838452,0.0003371671,0.0001242979,0.0002918903,0.0001089065,0.00008956892,0.001233964],"category_scores_gemma":[0.0004179591,0.00007337873,0.0001121473,0.0003861166,0.0001003706,0.0001669898,0.0002354005,0.0001691019,0.0001190047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921568,"about_ca_system_score_gemma":0.0001255951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03353553,"about_ca_topic_score_gemma":0.05976064,"domain_scores_codex":[0.9999639,0.000003364927,0.000002631409,0.00001560636,0.000007426292,0.000007171888],"domain_scores_gemma":[0.9997515,0.00003434535,0.0001029106,0.00002203043,0.00005537546,0.00003378567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002775573,0.00001184078,0.9931087,0.000008966979,0.00003170856,0.00004619,0.00009995927,0.0003834287,0.00207934,0.00002668611,0.0001606387,0.004014711],"study_design_scores_gemma":[3.340787e-7,0.000002605193,0.9995079,0.000001550052,0.000002441632,0.000007164421,0.00003435405,0.0002417961,0.00009721592,0.000005332286,0.00009883739,4.571988e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990263,0.00002925181,0.00006772015,0.00001300822,0.000001825687,0.000001145735,0.0004037884,0.000006145932,0.0004508863],"genre_scores_gemma":[0.9989001,0.00004540633,0.00006941715,0.000005036663,0.000002491273,0.000001870026,0.000657931,0.000001990295,0.0003157944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03353553,"threshold_uncertainty_score":0.06668067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127019751829446,"score_gpt":0.2280322559909141,"score_spread":0.1967620584726197,"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."}}