{"id":"W2036480322","doi":"10.1016/j.seares.2012.03.003","title":"Oxycline variability in the central Arabian Sea: An Argo-oxygen study","year":2012,"lang":"en","type":"article","venue":"Journal of Sea Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Indian National Centre for Ocean Information Services; National Aeronautics and Space Administration","keywords":"Argo; Oceanography; Shoal; Environmental science; Oxygen minimum zone; Hypoxia (environmental); Oxygen; Ocean observations; Geology; Apparent oxygen utilisation; Upwelling; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"category_scores_codex":[0.02221545,0.00008808424,0.0002050109,0.0001820675,0.0001596138,0.0001257827,0.0006377486,0.00004820941,0.001101476],"category_scores_gemma":[0.0004325604,0.00004992318,0.00005977051,0.0005386841,0.00005756988,0.0005986837,0.00003345218,0.0007994569,0.00005631509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001900255,"about_ca_system_score_gemma":0.0001654508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009832264,"about_ca_topic_score_gemma":0.0212433,"domain_scores_codex":[0.9948539,0.002677658,0.0004476036,0.0001260554,0.001215211,0.0006795417],"domain_scores_gemma":[0.9984799,0.0006145765,0.0001026336,0.0002756756,0.0001905473,0.0003366829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001321598,0.0005026154,0.9730976,0.00001515815,0.00001494044,0.00007287221,0.001464813,0.00006616624,0.000006224005,0.00001718329,0.0005259471,0.02408433],"study_design_scores_gemma":[0.0003662099,0.0007767471,0.9880853,0.000008900422,0.000005526484,0.00009530143,0.004974461,0.001437357,0.000005494586,0.0003577023,0.003825541,0.00006142142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902914,0.0001554906,0.000008957006,0.0006354616,0.0002446675,0.0003080567,0.00001515524,0.000003088964,0.008337758],"genre_scores_gemma":[0.9988368,0.00002561258,0.00004904764,0.00005339231,0.0009388614,9.428298e-7,0.00000740217,0.000002602629,0.00008536939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402291,"threshold_uncertainty_score":0.9998116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08752950040446629,"score_gpt":0.3466433534582832,"score_spread":0.259113853053817,"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."}}