{"id":"W2102451124","doi":"10.1139/f99-273","title":"Analysis of an estuarine striped bass (<i>Morone saxatilis</i>) population: influence of density-dependent mortality between metamorphosis and recruitment","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Water Resources","keywords":"Metamorphosis; Morone saxatilis; Bass (fish); Density dependence; Fishery; Biology; Estuary; Stocking; Population; Ecology; Stock (firearms); Larva; Geography; 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":[0.0002114637,0.0001907824,0.0001448609,0.0003694116,0.0001899525,0.0002290758,0.0001316693,0.0001124671,0.000457037],"category_scores_gemma":[0.0004896256,0.00009697789,0.0002045865,0.0002491724,0.000140572,0.000107134,0.0001397314,0.0001564557,0.0001183416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004450555,"about_ca_system_score_gemma":0.000212401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092938,"about_ca_topic_score_gemma":0.05351446,"domain_scores_codex":[0.9999113,0.00001642209,0.000007224677,0.00002842136,0.00002443569,0.00001217712],"domain_scores_gemma":[0.9996269,0.00007277087,0.0001450628,0.00002139127,0.00007132437,0.00006248397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234046,0.00003456216,0.96369,0.00002397085,0.0000440519,0.0001152209,0.0001435436,0.000677494,0.02958908,0.00003178373,0.0000824562,0.005444344],"study_design_scores_gemma":[9.997949e-7,0.00005947334,0.9982545,0.00000106841,0.000006173839,0.00004772454,0.00004013612,0.0006129172,0.0008996116,0.000007044025,0.00006864533,0.000001709708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996668,0.00002690207,0.000107467,0.000005081855,3.327612e-7,0.00000149261,0.00009315962,0.000003104613,0.00009561947],"genre_scores_gemma":[0.9986908,0.00005295863,0.0003729851,0.000007698563,0.000001391893,0.000005898096,0.0005581673,0.000002036532,0.0003081213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02092938,"threshold_uncertainty_score":0.04161513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04632680840930087,"score_gpt":0.2809931152843395,"score_spread":0.2346663068750386,"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."}}