{"id":"W2042929705","doi":"10.1007/s10584-012-0496-3","title":"Current state and trends in Canadian Arctic marine ecosystems: I. Primary production","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Fisheries and Oceans Canada; Ocean Networks Canada Society; University of Victoria; Université Laval","funders":"Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; ArcticNet","keywords":"Upwelling; Marine ecosystem; Oceanography; Food web; Arctic; Pelagic zone; Environmental science; Trophic level; Ecosystem; Sea ice; Ecosystem-based management; Primary producers; Arctic geoengineering; Arctic ecology; Ecology; Arctic ice pack; Phytoplankton; Geology; Biology; Antarctic sea ice","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007446287,0.0003048074,0.0002057604,0.002819446,0.001688914,0.001682082,0.0007485867,0.000421624,0.00182441],"category_scores_gemma":[0.001192292,0.0001555454,0.0003721198,0.006104296,0.0007627946,0.0007249,0.0005535088,0.0004938045,0.0002553005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0165693,"about_ca_system_score_gemma":0.01470588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9789854,"about_ca_topic_score_gemma":0.9881131,"domain_scores_codex":[0.9995452,0.0000148303,0.00003688391,0.0000837881,0.0001989439,0.0001202104],"domain_scores_gemma":[0.9972073,0.00009785481,0.0003601411,0.00004860649,0.001971185,0.0003147305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001988908,0.00003893281,0.9080546,0.0004827277,0.0001888717,0.000129187,0.001136495,0.0006334329,0.001991012,0.0007318769,0.005696912,0.08071701],"study_design_scores_gemma":[0.000003928893,0.00002572155,0.9848162,0.00006192963,0.0000469857,0.00007145201,0.0008734181,0.0004042442,0.0002569743,0.00006033014,0.01336253,0.0000162412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195955,0.02827203,0.0007701454,0.003874411,0.0001278262,0.00003465811,0.02312722,0.0001363475,0.02406191],"genre_scores_gemma":[0.9824593,0.008702011,0.0008806803,0.0002699497,0.00004023054,0.00001278863,0.005513262,0.00001380477,0.002107936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02101457,"threshold_uncertainty_score":0.1202192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739349673856697,"score_gpt":0.275725015601508,"score_spread":0.228331518862941,"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."}}