{"id":"W2597395279","doi":"10.1016/j.jmarsys.2017.03.007","title":"Blooms and subsurface phytoplankton layers on the Scotian Shelf: Insights from profiling gliders","year":2017,"lang":"en","type":"article","venue":"Journal of Marine Systems","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ocean Tracking Network; Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Oceanography; Water column; Phytoplankton; Bloom; Environmental science; Mixed layer; Nova scotia; Spring bloom; Algal bloom; Stratification (seeds); Chlorophyll a; Glider; Geology; Ecology; Nutrient; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001149515,0.0002068193,0.0001975079,0.0006972213,0.0003255314,0.0005193135,0.0001649799,0.0003045921,0.0007044553],"category_scores_gemma":[0.0003404876,0.0002273094,0.0002206339,0.0007855671,0.0002623809,0.0002977191,0.0004170503,0.0001577655,0.0001745051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451487,"about_ca_system_score_gemma":0.000427779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1612642,"about_ca_topic_score_gemma":0.3230244,"domain_scores_codex":[0.9999473,0.00000599238,0.000002951166,0.00001468655,0.000009741298,0.00001925573],"domain_scores_gemma":[0.999801,0.00003609062,0.00004092295,0.00001300491,0.00006582152,0.00004330147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002124079,0.00002483199,0.9713851,0.00002200884,0.00004906822,0.0001795354,0.000707012,0.0007258905,0.02092094,0.00005302858,0.0001488952,0.005571254],"study_design_scores_gemma":[0.000001166508,0.000007906501,0.9992931,0.000002397741,0.000004736783,0.00001586888,0.0001746062,0.00033348,0.0001106759,0.000005637748,0.00004856195,0.000001696924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993209,0.00004022827,0.00005860339,0.000007350332,0.00000136808,0.000002108154,0.0001954037,0.000002899105,0.0003713019],"genre_scores_gemma":[0.9994346,0.00004830102,0.0001031939,0.000006328371,0.000001412269,0.000001671573,0.0001800958,0.000002511124,0.0002217057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8387358,"threshold_uncertainty_score":0.3206511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542024400274781,"score_gpt":0.2028446783263092,"score_spread":0.1874244343235614,"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."}}