{"id":"W2617856857","doi":"10.1002/2017gl073583","title":"Melting glaciers stimulate large summer phytoplankton blooms in southwest Greenland waters","year":2017,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Meltwater; Oceanography; Fjord; Glacier; Glacial period; Phytoplankton; Geology; Greenland ice sheet; Algal bloom; Ice sheet; Sea ice; Environmental science; Physical geography; Nutrient; Geography; Ecology; Geomorphology","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":[0.0007590922,0.0001576015,0.0002351357,0.00006639241,0.001324371,0.0002909652,0.000563987,0.00005182839,0.0002200206],"category_scores_gemma":[0.0002966019,0.0001250498,0.00008359231,0.0002218348,0.0003763545,0.0003225575,0.0001160002,0.0005051192,0.0004968873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578734,"about_ca_system_score_gemma":0.00002956703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02916713,"about_ca_topic_score_gemma":0.009042375,"domain_scores_codex":[0.9975218,0.0001217306,0.0002006342,0.0004148296,0.0006586371,0.001082377],"domain_scores_gemma":[0.9988154,0.0003993078,0.00006333456,0.0004776493,0.00005602396,0.0001882956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005703581,0.00002948595,0.9904466,0.00001867916,0.00002299138,0.0000926717,0.0005293549,0.0005078872,0.0003458166,0.0000336678,0.001353904,0.006561867],"study_design_scores_gemma":[0.0006749087,0.00005387008,0.9870933,0.00003426518,0.000005008465,6.163607e-7,0.0003171075,0.005176662,0.00003428828,0.0002283834,0.006216132,0.0001654828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932297,0.00007381527,0.00003026562,0.005424004,0.0002292157,0.0002141313,0.00005721866,0.00002177472,0.0007198511],"genre_scores_gemma":[0.9985773,0.00003564619,0.0001542244,0.0005954246,0.0003246406,0.000005226647,0.00005009593,0.000006703136,0.0002507684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02012476,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06723449615044398,"score_gpt":0.3209037521424009,"score_spread":0.2536692559919569,"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."}}