{"id":"W3146446467","doi":"10.1016/j.mcm.2005.01.008","title":"Delay differential logistic equation with harvesting","year":2004,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Island University; University of Calgary","funders":"","keywords":"Logistic function; Mathematics; Delay differential equation; Term (time); Differential equation; Applied mathematics; Combinatorics; Mathematical analysis; Statistics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002130831,0.0001603413,0.000415529,0.00003627441,0.0001199973,0.00002180088,0.00004679917,0.0001184618,0.0001363454],"category_scores_gemma":[0.00004294348,0.00009667646,0.0000536231,0.00005145679,0.0002525065,0.00005139869,0.00004774705,0.0002129851,0.00004131866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001388724,"about_ca_system_score_gemma":0.00001940089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004113978,"about_ca_topic_score_gemma":3.515281e-7,"domain_scores_codex":[0.9990125,0.00002849886,0.0003116314,0.0002606071,0.0001166655,0.0002700582],"domain_scores_gemma":[0.9992584,0.0003364006,0.00004824829,0.0001345315,0.00003988611,0.0001825576],"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":[0.00007385451,0.000204637,0.00004222251,0.0002346873,0.00004398777,0.00003512372,0.0001544785,0.02708239,0.00001040234,0.9712753,0.000001993805,0.0008409264],"study_design_scores_gemma":[0.0005229625,0.0002120826,0.00002669262,0.0001795399,0.00006779819,0.0001969135,0.000004650729,0.5740625,0.00002298282,0.4246253,0.000003207066,0.00007532541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2719942,0.00001664926,0.7256143,0.0005612142,0.0000180395,0.000134524,4.15381e-7,0.000049942,0.001610702],"genre_scores_gemma":[0.843533,0.000005367795,0.1558993,0.0003720585,0.00009204432,0.00001327488,0.000006470266,0.00001030541,0.00006811247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5715388,"threshold_uncertainty_score":0.3942352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0771519609115155,"score_gpt":0.2713069891028492,"score_spread":0.1941550281913337,"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."}}