{"id":"W1577685881","doi":"10.1002/jgrc.20176","title":"Detecting Labrador Sea Water formation from space","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Anomaly (physics); Geology; Altimeter; Sea-surface height; Convection; Water column; Satellite; Range (aeronautics); Water mass; Climatology; Deep water; Oceanography; Surface water; Remote sensing; Environmental science; Meteorology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006512119,0.0001021945,0.0001946293,0.00006309623,0.0002436695,0.0002098805,0.0003494238,0.00005627658,0.002217448],"category_scores_gemma":[0.0002539543,0.00005872414,0.0001064007,0.0003127398,0.0001291792,0.001287124,0.00002612401,0.0006159014,0.0008990545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008450404,"about_ca_system_score_gemma":0.00006589083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438531,"about_ca_topic_score_gemma":0.0002073821,"domain_scores_codex":[0.9979984,0.0001610031,0.0002973289,0.0001254729,0.0009246218,0.0004931868],"domain_scores_gemma":[0.9984807,0.0005284792,0.00009860047,0.0001168483,0.0004990199,0.0002763441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00037233,0.0003068259,0.3064998,0.0001599881,0.0002233331,0.0001901782,0.004847655,0.0005855039,0.0112393,0.000118593,0.02444968,0.6510068],"study_design_scores_gemma":[0.001106014,0.001705229,0.8659866,0.0001963429,0.00003789126,0.0000579748,0.004511389,0.04260178,0.02378662,0.04929209,0.0102852,0.0004328943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960809,0.0002100936,0.0007092898,0.001555627,0.0001346111,0.00009621452,0.000008678855,0.00001292949,0.001191684],"genre_scores_gemma":[0.997707,0.000111687,0.001211048,0.00007761891,0.000578133,3.120612e-7,0.000008949158,0.000004288459,0.0003009473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6505739,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327731022515649,"score_gpt":0.2609970322103835,"score_spread":0.237719721985227,"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."}}