{"id":"W4412864429","doi":"10.1139/cjfas-2024-0305","title":"It takes all kinds: a composite approach to sustainable freshwater fisheries","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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ontario Genomics Institute","keywords":"Fishery; Environmental science; Ecology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.005071351,0.0006828054,0.0004415083,0.005334897,0.006861064,0.007843371,0.001442324,0.001122618,0.007020413],"category_scores_gemma":[0.007790972,0.0002513161,0.000607609,0.005399379,0.01363428,0.008093853,0.007647361,0.002953718,0.0004564588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132306,"about_ca_system_score_gemma":0.01558058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0545162,"about_ca_topic_score_gemma":0.1404709,"domain_scores_codex":[0.995398,0.002221382,0.0001456287,0.0004866016,0.001171531,0.0005768625],"domain_scores_gemma":[0.9960364,0.001301468,0.0003867344,0.0003850302,0.0009540118,0.0009363798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005229389,0.00008486801,0.01746449,0.0002617057,0.00004910809,0.0002821761,0.04215172,0.001884895,0.0003888311,0.8695148,0.004258753,0.06360641],"study_design_scores_gemma":[0.00002018652,0.00008355073,0.02248505,0.0005030654,0.0000729124,0.000259895,0.08350095,0.0070216,0.0003285813,0.7611838,0.1244749,0.00006550533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.153786,0.002032985,0.1287395,0.02362042,0.0002781811,0.0004383142,0.0003618747,0.0001445924,0.6905981],"genre_scores_gemma":[0.9448827,0.0006850002,0.0448535,0.0008752217,0.00003236815,0.0002610325,0.000129833,0.00006437231,0.008216053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9454838,"threshold_uncertainty_score":0.1083978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386677188817583,"score_gpt":0.2106796463416268,"score_spread":0.196812874453451,"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."}}