{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003316037,0.0001082118,0.000106447,0.00006722506,0.0001692941,0.00006969989,0.0004424779,0.0001281137,0.00247578],"category_scores_gemma":[0.0001199715,0.00005910836,0.00004347882,0.0003551012,0.0001035495,0.000419258,0.000027441,0.0001807873,0.001199198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004460165,"about_ca_system_score_gemma":0.00006528576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002002221,"about_ca_topic_score_gemma":0.006384924,"domain_scores_codex":[0.998749,0.00003373115,0.0001290906,0.0003287477,0.0003928459,0.0003665551],"domain_scores_gemma":[0.9994203,0.00009325933,0.00005262952,0.0002390445,0.00004340009,0.0001513515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001653558,0.00001173868,0.7417505,0.00001063862,0.000004650155,0.00002691839,0.00003699673,0.000003591827,0.0005162827,0.001509311,0.004726239,0.2513866],"study_design_scores_gemma":[0.0001618405,0.00009318618,0.5054218,0.00002324684,0.000003571932,0.00004649253,0.00002577294,0.0003807,0.00009913638,0.001455936,0.4920916,0.0001967258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513985,0.001264175,0.0007416453,0.002551914,0.002355694,0.0001741736,0.0001794469,0.0001203762,0.141214],"genre_scores_gemma":[0.988025,0.00003705058,0.0003091552,0.0007018151,0.0001991923,5.140802e-7,0.00000670073,0.00000179871,0.01071877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4873654,"threshold_uncertainty_score":0.9995785,"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."}}