{"id":"W4282981905","doi":"10.1016/j.jtbi.2022.111199","title":"Square root identities for harvested Beverton–Holt models","year":2022,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Department of Agriculture and Fisheries, Queensland Government; Australian Research Council","keywords":"Square root; Mathematics; Carpentaria; Rule of thumb; Overfishing; Statistics; Square (algebra); Norm (philosophy); Maximum sustainable yield; Econometrics; Fishery; Economics; Biology; Fisheries management; Fish <Actinopterygii>; Fishing; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001998545,0.0007983373,0.001081365,0.001251828,0.001052453,0.002449112,0.00251189,0.001752628,0.01726765],"category_scores_gemma":[0.01119372,0.0004535347,0.001291961,0.001137993,0.001571345,0.004516636,0.001685689,0.003084887,0.003548631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583884,"about_ca_system_score_gemma":0.001320968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005853406,"about_ca_topic_score_gemma":0.005886773,"domain_scores_codex":[0.9995816,0.0001580012,0.00001970689,0.00006498572,0.0001019035,0.00007384656],"domain_scores_gemma":[0.9966578,0.001882084,0.0002806186,0.0004056941,0.0005259575,0.0002477098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001336349,0.00002110245,0.0002787023,0.0000310324,0.00001518146,0.00008375617,0.0001055252,0.02204333,0.000289604,0.966176,0.006175758,0.004766593],"study_design_scores_gemma":[0.000008076062,0.000006589617,0.0002422368,0.00001446924,0.000009206456,0.00005567469,0.00004271133,0.266851,0.0001751735,0.729221,0.003358808,0.00001505955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06381775,0.001621916,0.7802873,0.004073262,0.0005354683,0.00006079462,0.0007712424,0.000478847,0.1483535],"genre_scores_gemma":[0.7217489,0.001997848,0.04810683,0.0010495,0.0004754113,0.0002009787,0.001374238,0.0009280187,0.2241182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01726765,"threshold_uncertainty_score":0.05776602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785372194624656,"score_gpt":0.2749775908525263,"score_spread":0.2571238689062798,"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."}}