{"id":"W4212996515","doi":"10.1002/essoar.10506404.3","title":"Phytoplankton Blooms Under Antarctic Sea Ice","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Nuclear Safety and Security Commission; National Institute of Water and Atmospheric Research; National Aeronautics and Space Administration","keywords":"Sea ice; Oceanography; Phytoplankton; Argo; Arctic ice pack; Drift ice; Antarctic sea ice; Environmental science; Climatology; Arctic; Arctic sea ice decline; Cryosphere; Geology; Ecology","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":[0.0001314387,0.0002521819,0.0002075504,0.0005877418,0.0004329756,0.000606126,0.00008204112,0.0001534191,0.001482708],"category_scores_gemma":[0.0003436609,0.0001298913,0.0001976343,0.001016912,0.0002543658,0.0002687889,0.0005398235,0.0001113325,0.0003117782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228672,"about_ca_system_score_gemma":0.0002401879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200715,"about_ca_topic_score_gemma":0.01455907,"domain_scores_codex":[0.9999182,0.00000596605,0.000006546385,0.00002949892,0.00001656176,0.00002312389],"domain_scores_gemma":[0.999823,0.00002202948,0.00006997224,0.00002400623,0.00002461558,0.00003633038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001944324,0.00002065926,0.9479892,0.0001049022,0.00007312285,0.0002633986,0.0003908412,0.004536166,0.02307895,0.0006271157,0.001289184,0.02143207],"study_design_scores_gemma":[0.000003920593,0.00001447472,0.9938411,0.00001121725,0.00001210883,0.0000913191,0.000283089,0.002311936,0.001252372,0.0002727408,0.001901255,0.000004549369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946536,0.0002357487,0.0003940353,0.00003340883,0.000008117377,0.000003587977,0.001694935,0.00004830663,0.002928287],"genre_scores_gemma":[0.9973885,0.0001701829,0.0003340382,0.00001581315,0.000006833908,0.000003632744,0.001664057,0.000007213986,0.0004097728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200715,"threshold_uncertainty_score":0.02387452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700772267927134,"score_gpt":0.2287332253990538,"score_spread":0.2117255027197824,"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."}}