{"id":"W4382398377","doi":"10.5194/sp-2023-10","title":"Modeling considerations for research on Ocean Alkalinity Enhancement (OAE)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Earth Sciences Division; National Oceanic and Atmospheric Administration; Prince Albert II of Monaco Foundation; National Aeronautics and Space Administration; Canada Research Chairs; ClimateWorks Foundation; Ocean Acidification Program; Canada Excellence Research Chairs, Government of Canada","keywords":"Data assimilation; Context (archaeology); Alkalinity; Biogeochemical cycle; Scale (ratio); Computer science; Environmental science; Remote sensing; Meteorology; Ecology; Geology; Geography","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":[0.007201472,0.0009188473,0.001030161,0.0006195233,0.0007459337,0.003359759,0.001984946,0.002264065,0.003156388],"category_scores_gemma":[0.01052425,0.0005011991,0.001304372,0.00108201,0.001439255,0.006454135,0.002393062,0.003373527,0.0007886919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926156,"about_ca_system_score_gemma":0.00287566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006507096,"about_ca_topic_score_gemma":0.006568813,"domain_scores_codex":[0.9986754,0.0006603576,0.0001215819,0.0001666823,0.000313825,0.00006216589],"domain_scores_gemma":[0.9965469,0.002158576,0.0002886938,0.000307915,0.0005872686,0.0001107297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001922268,0.0001855313,0.006944337,0.001405681,0.0001436644,0.000185611,0.0004248192,0.3065426,0.009150385,0.5828013,0.01156249,0.08046126],"study_design_scores_gemma":[0.00006575174,0.0003458385,0.00337986,0.001130482,0.0001130936,0.0001092513,0.0009515118,0.381896,0.004953258,0.4973276,0.1096057,0.0001216434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05049887,0.03337735,0.7642922,0.09450066,0.00241491,0.0003840879,0.001293565,0.001057009,0.05218134],"genre_scores_gemma":[0.603752,0.04346699,0.3299423,0.004894067,0.001174413,0.001288505,0.001265862,0.0002703618,0.01394563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007201472,"threshold_uncertainty_score":0.03808552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3803146963702885,"score_gpt":0.4171331161301052,"score_spread":0.0368184197598167,"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."}}