{"id":"W2562640560","doi":"10.1038/ngeo2870","title":"Polar merry-go-round","year":2016,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Polar; Biomass (ecology); Environmental science; Phytoplankton; Oceanography; Ecosystem; Atmospheric sciences; Climatology; Geology; Ecology; Biology; Physics; Nutrient","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001590421,0.00023175,0.0001626187,0.0002871184,0.0008977802,0.0008156305,0.0002228966,0.0003360579,0.07255179],"category_scores_gemma":[0.0003309809,0.00009933045,0.0001330846,0.000328526,0.0002122402,0.0002712423,0.0008839175,0.0004576445,0.02235838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582583,"about_ca_system_score_gemma":0.0007573134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0167258,"about_ca_topic_score_gemma":0.04792939,"domain_scores_codex":[0.9999239,0.000007975687,0.000001590641,0.00002394972,0.00001791032,0.00002467683],"domain_scores_gemma":[0.9998509,0.000008347801,0.000008713864,0.00002569696,0.00004127461,0.00006509628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005485428,0.0001967054,0.07479931,0.0003707939,0.00008346821,0.001253181,0.0009286353,0.004174083,0.02258905,0.02083843,0.6108687,0.2584122],"study_design_scores_gemma":[0.000154025,0.0001580421,0.05794873,0.00007106241,0.0000213007,0.0001668711,0.0005628677,0.00121018,0.003371142,0.001857988,0.9344614,0.0000162918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1208542,0.0007093949,0.002633695,0.001427216,0.001703574,0.0002464374,0.02729573,0.001639793,0.8434899],"genre_scores_gemma":[0.5063465,0.0007771393,0.005138162,0.00101189,0.0003228123,0.0001271787,0.03525227,0.0009051037,0.4501191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07255179,"threshold_uncertainty_score":0.2427099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005530797277433756,"score_gpt":0.1976483840858458,"score_spread":0.192117586808412,"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."}}