{"id":"W1987584236","doi":"10.1016/j.csr.2011.08.006","title":"The contribution of various types of settling particles to the flux of organic carbon in the Gulf of St. Lawrence","year":2011,"lang":"en","type":"article","venue":"Continental Shelf Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sediment trap; Phytoplankton; Settling; Flux (metallurgy); Zooplankton; Water column; Trophic level; Oceanography; Environmental science; Total organic carbon; Carbon fibers; Productivity; Algae; Environmental chemistry; Range (aeronautics); Particle (ecology); Particulates; Atmospheric sciences; Chemistry; Nutrient; Ecology; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002278062,0.0002436395,0.0001879956,0.001220566,0.001057549,0.001022393,0.0002539682,0.0003268771,0.0005861229],"category_scores_gemma":[0.0004941299,0.0003154971,0.0002904077,0.000611119,0.0004299769,0.0003159182,0.0005240584,0.0002729518,0.000138245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334094,"about_ca_system_score_gemma":0.001120813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3961191,"about_ca_topic_score_gemma":0.5538498,"domain_scores_codex":[0.9998885,0.00000854703,0.00001303542,0.00003084157,0.00003333369,0.00002571631],"domain_scores_gemma":[0.999711,0.00005176301,0.00005372307,0.000009802937,0.000134648,0.0000390266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003255936,0.00003124967,0.9668339,0.00005908998,0.0001033823,0.0001416535,0.0005476094,0.001130858,0.02028982,0.0002595312,0.0001883798,0.01008896],"study_design_scores_gemma":[0.000005280411,0.00002132433,0.9964319,0.00000900271,0.00003096224,0.00003869395,0.000414019,0.001095904,0.001515564,0.00003693177,0.0003939761,0.000006443655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993216,0.00007917309,0.00002733251,0.00002448676,0.000002180062,0.000001122499,0.000135475,0.00000267407,0.0004059434],"genre_scores_gemma":[0.9987268,0.0001470416,0.0000939369,0.00001760367,0.000002571502,0.000001917375,0.0002115898,0.000004259252,0.0007942888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3961191,"threshold_uncertainty_score":0.787627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241483391438787,"score_gpt":0.2610916228228125,"score_spread":0.2286767889084246,"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."}}