{"id":"W2782100630","doi":"10.5194/bg-15-4515-2018","title":"A multi-method autonomous assessment of primary productivity and export efficiency in the springtime North Atlantic","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Ocean Sciences; Natural Environment Research Council; Sight Research UK; National Aeronautics and Space Administration; National Science Foundation","keywords":"Diel vertical migration; Environmental science; Productivity; Primary production; Phytoplankton; Oceanography; Atmospheric sciences; Ecosystem; Ecology; Nutrient; Biology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.001615464,0.0001014384,0.000176373,0.0001043982,0.0001566418,0.00005656411,0.0003556244,0.0000251789,0.0001118137],"category_scores_gemma":[0.00005291015,0.00005972828,0.00002736363,0.0005844473,0.000325243,0.0001836154,0.00004272367,0.00007198431,0.000007433791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003653345,"about_ca_system_score_gemma":0.0001454015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01840466,"about_ca_topic_score_gemma":0.0466266,"domain_scores_codex":[0.998713,0.0001401419,0.0002389053,0.0003473886,0.0003167274,0.0002438226],"domain_scores_gemma":[0.9994556,0.0001379697,0.0001213727,0.0002051595,0.00003271962,0.00004716885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003558046,0.00005016874,0.9825699,0.0000244463,0.000001320776,0.000003616429,0.0002668267,0.000005408937,0.0001814326,0.00001668293,0.00001049376,0.01686611],"study_design_scores_gemma":[0.0000950745,0.0002683556,0.9826964,0.00000943653,0.000003779591,0.00002338504,0.0001250737,0.01523321,0.00005368179,0.00001535263,0.001388931,0.00008738828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910647,0.00007394938,0.0005478967,0.00008333379,0.0001894553,0.0002627698,0.00001932728,0.00001321597,0.00774539],"genre_scores_gemma":[0.9945691,0.000008169454,0.005208295,0.00004757576,0.00006553742,0.000002362295,0.00000759621,0.000001076654,0.00009026643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02822194,"threshold_uncertainty_score":0.9881319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020682963966611,"score_gpt":0.2513030720695735,"score_spread":0.2310962424299074,"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."}}