{"id":"W4404316158","doi":"10.1086/734010","title":"Dietary preferences of Ninespine Stickleback in high Arctic tundra streams","year":2024,"lang":"en","type":"article","venue":"Freshwater Science","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Northern Studies; Université du Québec à Chicoutimi; University of Waterloo; Environment and Climate Change Canada; Bureau de Coopération Interuniversitaire; Wilfrid Laurier University","funders":"","keywords":"Tundra; Stickleback; Arctic; STREAMS; Ecology; Biology; Environmental science; Fishery; Fish <Actinopterygii>; Computer science","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":[0.0001300509,0.0001565345,0.000170686,0.000604186,0.000480245,0.0004091072,0.0000839063,0.0001500901,0.0007369157],"category_scores_gemma":[0.0002363969,0.00009264217,0.0001446113,0.0004368267,0.0002077836,0.0001419067,0.0002060278,0.000103462,0.00008104311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035864,"about_ca_system_score_gemma":0.0001815896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03187224,"about_ca_topic_score_gemma":0.115396,"domain_scores_codex":[0.9999106,0.00001440219,0.00001132867,0.00002851876,0.00001846097,0.0000166771],"domain_scores_gemma":[0.9998491,0.00001226265,0.00005887233,0.000004716108,0.00002577378,0.00004931415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001162781,0.00003054874,0.9925517,0.00001377952,0.00004533821,0.0001092938,0.000556114,0.00005574202,0.002924569,0.00001080345,0.00005702614,0.003528811],"study_design_scores_gemma":[8.937974e-7,0.00004222266,0.9993147,0.000003160361,0.000007780631,0.00005892931,0.0003524813,0.00006192075,0.00006530754,0.000004841805,0.00008641676,0.000001457686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999816,0.00003634548,0.0000143011,0.000003036507,7.646657e-7,0.000001082214,0.00005449259,6.8453e-7,0.0000733993],"genre_scores_gemma":[0.9994642,0.00006419823,0.00009760676,0.00001385294,0.000001722493,0.000002590531,0.0001633605,6.220086e-7,0.0001919735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03187224,"threshold_uncertainty_score":0.06337345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560089863227164,"score_gpt":0.2230614152720841,"score_spread":0.2074605166398125,"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."}}