{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002735163,0.0001855127,0.0002278479,0.0003293995,0.0006257426,0.0002678308,0.0002315302,0.000197334,0.001802031],"category_scores_gemma":[0.0008862903,0.0001409683,0.0001204906,0.0001376228,0.00008569042,0.00004683124,0.00005726678,0.0005394511,0.0008566678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321154,"about_ca_system_score_gemma":0.000335595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109705,"about_ca_topic_score_gemma":0.001060621,"domain_scores_codex":[0.9977546,0.0003546238,0.00035552,0.0006117725,0.0005128151,0.0004106749],"domain_scores_gemma":[0.9959273,0.003100451,0.00005711299,0.0004780583,0.0002900553,0.0001470311],"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":[0.0002149276,0.00008602616,0.0006565016,0.0002439322,0.00009016482,0.000009083673,0.000347978,0.9398884,0.00004102766,0.004195092,0.05090999,0.003316877],"study_design_scores_gemma":[0.0002011536,0.0002495416,0.001359064,0.0001006815,0.00001483914,9.325229e-7,0.000315094,0.9388438,0.0006923872,0.0566014,0.001357403,0.0002636797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031605,0.0004785074,0.04233263,0.01842796,0.004311233,0.005583006,0.001836054,0.0006611604,0.02320899],"genre_scores_gemma":[0.9893687,0.0001858531,0.003093124,0.0003380805,0.000321606,0.00001410922,0.0005817777,0.00001047565,0.006086248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08620828,"threshold_uncertainty_score":0.9999213,"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."}}