{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002955706,0.0000863561,0.0001140461,0.00008480647,0.000113361,0.00002915267,0.00041714,0.00003145821,0.001510179],"category_scores_gemma":[0.0000421443,0.00006123145,0.00002199703,0.0006269444,0.001598713,0.0004096471,0.0004743634,0.00009176952,0.0003773185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007729309,"about_ca_system_score_gemma":0.00002099182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117873,"about_ca_topic_score_gemma":0.0105195,"domain_scores_codex":[0.9989879,0.00001927026,0.0001338389,0.0003387859,0.000255775,0.0002643978],"domain_scores_gemma":[0.9997388,0.00004444499,0.00002167653,0.0001413238,0.000009682716,0.00004412464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007701631,0.00005612506,0.9850453,0.00003534483,0.000006482263,0.00002995651,0.001196955,0.0002073164,0.008668711,0.00008856883,0.001356219,0.003301339],"study_design_scores_gemma":[0.0001101752,0.000183836,0.9869481,0.00005718381,0.00001133438,0.000003764961,0.0002355138,0.001079641,0.007495047,0.002488102,0.001248689,0.0001386141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973258,0.00009410823,0.000007758228,0.0005911124,0.0003414341,0.00007802167,0.00002654705,0.00002235278,0.001512852],"genre_scores_gemma":[0.9982826,0.00003514416,0.001024901,0.00005045093,0.00001248954,0.00000358142,0.00000290711,0.000001716217,0.0005862432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008401628,"threshold_uncertainty_score":0.9994026,"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."}}