{"id":"W2096534909","doi":"10.1139/f00-215","title":"Allometry of natural mortality as a basis for assessing optimal release size in fish-stocking programmes","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allometry; Stocking; Statistics; Mathematics; Mortality rate; Growth rate; Exponent; Biology; Ecology; Demography; Fishery","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":[0.003713985,0.0002984017,0.0002768932,0.0004596162,0.000152847,0.0003107148,0.0003307573,0.0002814506,0.0004670702],"category_scores_gemma":[0.007947225,0.0001305128,0.000246385,0.0001768099,0.0004370337,0.0005881755,0.0003496022,0.0002966732,0.00007686399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194347,"about_ca_system_score_gemma":0.0001770302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007493437,"about_ca_topic_score_gemma":0.001776007,"domain_scores_codex":[0.999054,0.0005543403,0.00005778805,0.0001407546,0.0001506796,0.00004243902],"domain_scores_gemma":[0.994909,0.0029111,0.001319437,0.0005001161,0.0001957206,0.0001645931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001249664,0.0004309668,0.8616345,0.0001226354,0.0001813819,0.00008934246,0.0004211244,0.02062637,0.06644249,0.0005996636,0.000128001,0.04807392],"study_design_scores_gemma":[0.00001483529,0.001535354,0.974085,0.000009611984,0.00003729356,0.00008643149,0.00008765914,0.01900557,0.004677773,0.0003281128,0.0001178357,0.00001445501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965835,0.00009472048,0.003019202,0.00001388991,0.000002588989,0.00001639547,0.00003699733,0.00001547049,0.000217322],"genre_scores_gemma":[0.9981511,0.00002658064,0.001618703,0.000009530678,0.000002451926,0.00001506126,0.00007746033,0.000004048379,0.0000949877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003713985,"threshold_uncertainty_score":0.01964164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589649034993649,"score_gpt":0.2868917389539753,"score_spread":0.2609952486040388,"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."}}