{"id":"W2801331471","doi":"10.1007/s11538-018-0432-4","title":"An Alternative Formulation for a Distributed Delayed Logistic Equation","year":2018,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Logistic function; Mathematics; Applied mathematics; Calculus (dental); Computer science; Statistics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001554355,0.0008847509,0.0009722483,0.001102255,0.0006283671,0.002186996,0.002790491,0.003495258,0.009723805],"category_scores_gemma":[0.005346937,0.0005068038,0.001470348,0.001114572,0.001343503,0.003519142,0.001930391,0.002977271,0.0009163674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655698,"about_ca_system_score_gemma":0.002016992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004514787,"about_ca_topic_score_gemma":0.003838251,"domain_scores_codex":[0.9994102,0.0002049035,0.00004591368,0.0001262046,0.0001433263,0.00006957418],"domain_scores_gemma":[0.998316,0.0006952052,0.0002015267,0.0001197607,0.0004925941,0.0001749274],"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":[0.00001687076,0.00002652159,0.0005437979,0.00008387826,0.00003709261,0.0002836431,0.0001200919,0.03172111,0.0009866874,0.9582471,0.003718323,0.00421502],"study_design_scores_gemma":[0.0000582201,0.00003566983,0.0003588164,0.00003052964,0.00004196569,0.0004190551,0.00009388962,0.522306,0.0002180646,0.4654958,0.01090384,0.00003817796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02034597,0.001235296,0.9434074,0.01016191,0.001502763,0.00006447439,0.0005060557,0.00007165875,0.02270446],"genre_scores_gemma":[0.552233,0.003405529,0.2735291,0.004634135,0.003957434,0.0004113016,0.000848848,0.000223472,0.1607572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009723805,"threshold_uncertainty_score":0.03252941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07730925029531051,"score_gpt":0.3615564697981527,"score_spread":0.2842472195028422,"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."}}