{"id":"W2936777354","doi":"10.4224/40003211","title":"NOAA/NRC second intercomparison for nutrients in seawater","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Seawater; Environmental science; Nutrient; Oceanography; Meteorology; Remote sensing; Geology; Geography; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002041766,0.00007920962,0.0001223545,0.00002656704,0.00004423353,0.000026271,0.0001519448,0.00003790336,0.005368827],"category_scores_gemma":[0.00001474446,0.00006863402,0.00005755564,0.0001114853,0.0000373081,0.0001024453,0.00006380001,0.00007081807,0.0006673707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163867,"about_ca_system_score_gemma":6.388079e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084903,"about_ca_topic_score_gemma":0.00004535661,"domain_scores_codex":[0.9991921,0.00003005234,0.0001643872,0.000211698,0.0001765077,0.0002253247],"domain_scores_gemma":[0.9997343,0.00002434235,0.00002640179,0.0001545879,0.000004552754,0.00005580229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004975054,0.0009596213,0.5270927,0.0000710611,0.00005185952,0.00001410652,0.008207844,0.0003690877,0.2232736,0.00008252253,0.2128411,0.02698673],"study_design_scores_gemma":[0.002968543,0.0002648885,0.04948989,0.0000858629,0.00005209645,0.000004848108,0.0005871116,0.04788423,0.2524368,0.007694126,0.6375846,0.0009469993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882224,0.000006465485,0.0004409705,0.0004152507,0.0001099922,0.00009242797,0.000006033693,0.00002109594,0.01068536],"genre_scores_gemma":[0.9896222,0.000002246255,0.0008979001,0.00006529564,0.00005256563,0.00002370745,0.000004683007,0.000007385577,0.009324026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776028,"threshold_uncertainty_score":0.9955404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461666754389069,"score_gpt":0.2523631577697436,"score_spread":0.2177464902258529,"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."}}