{"id":"W6937198229","doi":"10.5885/45870ce-f5ad28eccd834122","title":"Winter under-ice limnological and pigment data of the Great Whale River and its freshwater plume into Hudson Bay.","year":2023,"lang":"en","type":"dataset","venue":"Nordicana D","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Water column; Plume; Nutrient; Diatom; Limnology; Whale; Marine snow; Dissolved organic carbon; Abundance (ecology); Carbon fibers","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006053924,0.0005849837,0.000776348,0.0002445874,0.0001850964,0.0001059615,0.00210106,0.0005513415,0.000558224],"category_scores_gemma":[0.0002906251,0.0003812625,0.00008753791,0.000368973,0.0009135404,0.0002577945,0.00623841,0.0008375598,0.002287855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634263,"about_ca_system_score_gemma":0.0001299934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008292757,"about_ca_topic_score_gemma":0.1306238,"domain_scores_codex":[0.9964176,0.0003591545,0.0005316634,0.001300366,0.0008233174,0.0005678489],"domain_scores_gemma":[0.9964716,0.0002381243,0.0003508069,0.002603384,0.00008866786,0.000247442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007777121,0.00006024504,0.001341145,0.000233035,0.0003058276,0.00006039153,0.00008809911,0.000001906449,0.0001648937,0.000006540522,0.9974049,0.0002552155],"study_design_scores_gemma":[0.0008313513,0.000158473,0.03059897,0.0004092215,0.0005457914,0.00003832268,0.0001076309,0.0000949181,0.00008186833,0.0001439134,0.9664758,0.0005137735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04315046,0.001051863,0.000001760046,0.0009054357,0.0004187256,0.0005972976,0.9537733,0.0000692039,0.00003195332],"genre_scores_gemma":[0.008570088,0.0009309297,0.00007891063,0.0004886837,0.000263471,0.00003961849,0.9888192,0.000123636,0.0006854375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.122331,"threshold_uncertainty_score":0.9998639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804901688368888,"score_gpt":0.2995971438376682,"score_spread":0.2315481269539793,"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."}}