{"id":"W2331624652","doi":"10.1139/f2011-036","title":"A whole-lake density reduction to assess compensatory responses of gizzard shad<i>Dorosoma cepedianum</i>","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dorosoma; Gizzard shad; Biology; Biomass (ecology); Population; Population density; Fishery; Ecology; Fish <Actinopterygii>; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001212741,0.0002165007,0.0002029391,0.0001845537,0.0002502433,0.0001628479,0.0002632225,0.0002017205,0.00127665],"category_scores_gemma":[0.0002643908,0.0001534312,0.0002300213,0.0001115352,0.0002294555,0.0002545541,0.0003732263,0.0003886622,0.0001328665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827239,"about_ca_system_score_gemma":0.0002521233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005375634,"about_ca_topic_score_gemma":0.01709144,"domain_scores_codex":[0.9999077,0.0000126714,0.000007029008,0.0000276796,0.00002545708,0.00001934461],"domain_scores_gemma":[0.9997821,0.00002654738,0.00006690617,0.00002597216,0.00004500358,0.00005346856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005128272,0.0002992309,0.05464794,0.00003969207,0.00003731635,0.00008544663,0.0002058326,0.0003038327,0.9391105,0.00006099699,0.0001149158,0.004581579],"study_design_scores_gemma":[0.00003612334,0.003171148,0.8828417,0.000002972262,0.00004086578,0.000100839,0.0001616637,0.002561814,0.1103493,0.0000515171,0.0006672728,0.00001491219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995664,0.00001269574,0.0001709998,0.000007036291,0.000001374757,0.00001099638,0.00005132412,0.00000824941,0.0001708233],"genre_scores_gemma":[0.9980178,0.00001641258,0.0008618025,0.00003331927,0.000002723503,0.00006381522,0.0002326982,0.000007062222,0.0007643187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005375634,"threshold_uncertainty_score":0.01068866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672980235235018,"score_gpt":0.2297488649159153,"score_spread":0.1830190625635651,"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."}}