{"id":"W763890954","doi":"10.1016/j.dsr.2015.04.012","title":"Varying temperature and heat content signatures in the central Labrador Sea at different layers and timescales","year":2015,"lang":"en","type":"article","venue":"Deep Sea Research Part I Oceanographic Research Papers","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Climatology; North Atlantic oscillation; Sea surface temperature; Convection; Argo; Annual cycle; Atmospheric sciences; Geology; Environmental science; Oceanography; Geography; Meteorology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005499355,0.0003993685,0.0004358798,0.0004679663,0.001402299,0.0006748241,0.0008728458,0.0002871488,0.0002964372],"category_scores_gemma":[0.0007557624,0.0002429143,0.0001108366,0.002728716,0.002554594,0.0004375659,0.00022672,0.002047055,0.00001545386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688484,"about_ca_system_score_gemma":0.0001743066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946279,"about_ca_topic_score_gemma":0.007886677,"domain_scores_codex":[0.9907063,0.00255501,0.0004087389,0.0009529628,0.003129298,0.002247702],"domain_scores_gemma":[0.9955632,0.002318216,0.00004247177,0.0005089166,0.0004017939,0.001165402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000550188,0.0001174168,0.9786171,0.0001775057,0.00008590383,0.0002645775,0.003137352,0.0001774139,0.0002740411,0.0001811633,0.00983789,0.006579502],"study_design_scores_gemma":[0.002138882,0.001205655,0.9448326,0.0002538499,0.00002047784,0.00007425459,0.02163104,0.006794459,0.0002372127,0.001105794,0.02108783,0.000617997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694666,0.02114969,9.008057e-7,0.004005653,0.0001134698,0.001053694,0.00007676041,0.00005582687,0.004077471],"genre_scores_gemma":[0.9913632,0.007399982,0.0000665882,0.0004499808,0.0001856628,0.00002725549,0.000121675,0.00001873539,0.0003668701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0337845,"threshold_uncertainty_score":0.9998977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08172517154622745,"score_gpt":0.3014955336852416,"score_spread":0.2197703621390142,"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."}}