{"id":"W3201039451","doi":"10.3390/w13182495","title":"Spatial Patterns of Macromolecular Composition of Phytoplankton in the Arctic Ocean","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Oceans and Fisheries","keywords":"Phytoplankton; Oceanography; Arctic; Canada Basin; Food web; Structural basin; Environmental science; Macromolecule; Trophic level; Nutrient; Chemistry; Geology; Ecology; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835835,0.0002473833,0.000270192,0.002318867,0.001052955,0.0006407963,0.0002240335,0.0002451022,0.0005958109],"category_scores_gemma":[0.00033613,0.0002973041,0.0003288801,0.001859593,0.0004010779,0.0002479025,0.0005284668,0.0001667283,0.0001578937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328416,"about_ca_system_score_gemma":0.001022077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.266585,"about_ca_topic_score_gemma":0.3199819,"domain_scores_codex":[0.999833,0.00001100292,0.00001238919,0.0000614538,0.00003475662,0.00004737645],"domain_scores_gemma":[0.9995263,0.00003970327,0.0001036071,0.00001505141,0.0002293905,0.00008596278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002392625,0.00001444694,0.9403125,0.00007700051,0.0001381574,0.0001516684,0.001025109,0.0006455173,0.05080552,0.00009960057,0.0001804034,0.006310888],"study_design_scores_gemma":[9.5683e-7,0.000005101325,0.9987783,0.000004116144,0.00001312461,0.00002387845,0.0003162118,0.0002683548,0.0004058624,0.000009097339,0.0001691013,0.000005895728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988245,0.0001654129,0.00009108669,0.00001096161,0.000002493661,0.000002722042,0.0003429686,0.000006799302,0.000553128],"genre_scores_gemma":[0.9986218,0.0001833606,0.000320009,0.00001121288,0.000004575758,0.000007490604,0.0004791526,0.000005232737,0.0003672818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266585,"threshold_uncertainty_score":0.5300665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006359393797268833,"score_gpt":0.1882888181089017,"score_spread":0.1819294243116329,"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."}}