{"id":"W2085166967","doi":"10.1007/s00285-004-0303-5","title":"Harvesting in seasonal environments","year":2004,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Seasonality; Carrying capacity; Population; Growth rate; Mathematics; Yield (engineering); Constant (computer programming); Logistic function; Statistics; Biology; Econometrics; Ecology; Demography; Computer science","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":[0.000991054,0.0002021819,0.000486035,0.0003347021,0.0004645435,0.001170118,0.0005519799,0.0007141979,0.005829348],"category_scores_gemma":[0.003584813,0.0002470001,0.0003409476,0.0005112167,0.0009952115,0.001530653,0.0007196921,0.0007049828,0.0006286426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318956,"about_ca_system_score_gemma":0.0003954421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928464,"about_ca_topic_score_gemma":0.001932268,"domain_scores_codex":[0.999819,0.00005284929,0.00001011679,0.00004589073,0.00001875704,0.00005344162],"domain_scores_gemma":[0.9987286,0.00067927,0.0001842856,0.0001306326,0.0001012294,0.0001759947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003101484,0.0002303986,0.03923954,0.0002561947,0.000207246,0.0007763306,0.0009174017,0.1141889,0.007015526,0.759252,0.01370766,0.06389859],"study_design_scores_gemma":[0.00003852926,0.00008652375,0.03146024,0.00003792259,0.0000811166,0.0007034842,0.001095004,0.2874827,0.0003834154,0.6739648,0.004632436,0.00003376014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705427,0.002399537,0.1773338,0.005315337,0.0003786104,0.00004422107,0.0003025866,0.0001133052,0.04356977],"genre_scores_gemma":[0.9844705,0.0006626623,0.001986932,0.0001555741,0.00008865273,0.00001500064,0.00008363541,0.00002307785,0.01251401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005829348,"threshold_uncertainty_score":0.01950109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234311528026552,"score_gpt":0.3096993350741027,"score_spread":0.2773562197938372,"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."}}