{"id":"W4415529425","doi":"10.1139/cjfas-2024-0027","title":"Drivers of the fish community size spectrum and its utility as an indicator of fish productivity: insights from three decades of monitoring data from a small boreal lake","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; International Institute for Sustainable Development; Lakehead University; Queen's University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Zooplankton; Abundance (ecology); Biomass (ecology); Population dynamics of fisheries; Trophic level; Boreal; Population; Productivity; Community structure","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009157843,0.000170027,0.0002103671,0.0008871623,0.0004525472,0.0004169938,0.0002764298,0.0002035449,0.0004410669],"category_scores_gemma":[0.001607957,0.0001148401,0.000269172,0.0006962642,0.0003622551,0.0004755154,0.0004030829,0.0001839715,0.00006244423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006426717,"about_ca_system_score_gemma":0.0005194036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06731547,"about_ca_topic_score_gemma":0.1699997,"domain_scores_codex":[0.9998267,0.00003579006,0.0000160517,0.00004963823,0.00003896116,0.00003281632],"domain_scores_gemma":[0.9988672,0.0001655416,0.0004780481,0.00007557127,0.000248579,0.0001651023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002889878,0.0000126697,0.9943014,0.000006676852,0.00002813814,0.00002204073,0.0002224161,0.00009837563,0.001624443,0.00002034051,0.00005171927,0.003582984],"study_design_scores_gemma":[3.966945e-7,0.000005966564,0.9996544,8.309908e-7,0.000004423368,0.000008960735,0.00005528813,0.0001810288,0.00004032891,0.00000606279,0.00004092143,0.000001376008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999526,0.00006133132,0.00009975347,0.00001714275,7.720429e-7,0.00000168964,0.0001576197,0.000002816619,0.0001330076],"genre_scores_gemma":[0.9995723,0.00002272567,0.0001542732,0.00000842812,0.000001918963,0.000002283324,0.000191293,0.000001153371,0.00004562222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06731547,"threshold_uncertainty_score":0.1338473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743389604589527,"score_gpt":0.2385289700336526,"score_spread":0.2010950739877573,"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."}}