{"id":"W7125387850","doi":"10.5683/sp3/kwf3vx","title":"Spatial variation of trophic transfer efficiency in a large lake","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Windsor","funders":"","keywords":"Trophic level; Spatial variability; Variation (astronomy); Transfer efficiency; Spatial ecology; Water transfer; Aquatic science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009580312,0.0007744831,0.0009062234,0.002870326,0.000590885,0.00110563,0.001350336,0.001030965,0.01862446],"category_scores_gemma":[0.00372703,0.0004879308,0.0009519917,0.006524319,0.0003332105,0.0006783511,0.001579002,0.0008419642,0.008969732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135822,"about_ca_system_score_gemma":0.001949063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1665222,"about_ca_topic_score_gemma":0.2201659,"domain_scores_codex":[0.9991832,0.0001052118,0.0001012547,0.0002376313,0.0002156799,0.0001569093],"domain_scores_gemma":[0.9975249,0.0005207193,0.0005638447,0.0003683352,0.0007204274,0.0003017822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004121133,0.00009994824,0.08928064,0.001132137,0.0005825885,0.0001319096,0.0002824828,0.003254546,0.0009272489,0.0007973582,0.8939963,0.009102691],"study_design_scores_gemma":[0.0007781033,0.00008648494,0.6656465,0.0004321778,0.000264917,0.000188531,0.0008513292,0.003201912,0.0007773986,0.001134798,0.3264342,0.0002036716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004616257,0.00003729482,0.0000400488,0.00005351094,0.000008312772,0.000006258625,0.9948068,0.00007971936,0.0003517418],"genre_scores_gemma":[0.0140987,0.00004970554,0.0002960431,0.00004271267,0.0000107538,0.00009342892,0.984355,0.00004193682,0.001011761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1665222,"threshold_uncertainty_score":0.3311059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091576912185549,"score_gpt":0.2515804359811494,"score_spread":0.2424227447625945,"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."}}