{"id":"W4252286209","doi":"10.3334/cdiac/otg.carina_06mt20010507","title":"Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from METEOR in the Labrador Sea and North Atlantic Ocean from 2001-05-07 to 2001-05-31 (NCEI Accession 0113586)","year":2013,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meteor (satellite); Cruise; Data set; Aeronautics; Meteorology; Environmental science; Geography; Oceanography; Computer science; Geology; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007926626,0.0009658907,0.0008964757,0.002704661,0.0006021435,0.001232972,0.001633206,0.0009252072,0.01257629],"category_scores_gemma":[0.002066029,0.0004944868,0.0007618531,0.006644804,0.0002672297,0.0006327421,0.00136397,0.001047097,0.01103311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815167,"about_ca_system_score_gemma":0.003375594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09714718,"about_ca_topic_score_gemma":0.1333245,"domain_scores_codex":[0.9991437,0.00005960454,0.000107845,0.0002300761,0.0003331501,0.0001256888],"domain_scores_gemma":[0.9975815,0.000227418,0.0004621137,0.0004224118,0.001093476,0.0002130177],"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":[0.0004188309,0.0002420284,0.09101922,0.001362745,0.0002650538,0.0001245211,0.0003235354,0.002459604,0.002942023,0.001009375,0.8791116,0.02072148],"study_design_scores_gemma":[0.0002633683,0.00006529225,0.304195,0.0002800612,0.0000711383,0.00006073384,0.0006237115,0.001591129,0.002858099,0.000440137,0.6894712,0.00007999744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003381311,0.00001853019,0.00007974058,0.00002563935,0.00001250081,0.00002345565,0.9955671,0.000115403,0.0007763239],"genre_scores_gemma":[0.003037579,0.000019563,0.0004007964,0.00001715243,0.000004775944,0.00007082106,0.9957262,0.00002267823,0.0007003539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9028528,"threshold_uncertainty_score":0.1931634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678299037153246,"score_gpt":0.2432202424339026,"score_spread":0.2164372520623702,"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."}}