{"id":"W2326660287","doi":"10.3934/dcds.2013.33.2007","title":"The diffusive logistic model with a free boundary and seasonalsuccession","year":2012,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China; National Science Foundation","keywords":"Ecological succession; Logistic function; Infinity; Mathematics; Interval (graph theory); Mathematical analysis; Boundary (topology); Statistical physics; Statistics; Ecology; Physics; Biology; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005081483,0.0001559941,0.0004373906,0.00001350874,0.0003122217,0.00003503161,0.00007291857,0.0001569543,0.000007589074],"category_scores_gemma":[0.0003150616,0.00006953286,0.00004234984,0.00003478034,0.0008532095,0.00005886102,0.00009769754,0.0002279701,0.000002952006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001216773,"about_ca_system_score_gemma":0.00001615384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002122244,"about_ca_topic_score_gemma":0.000008176092,"domain_scores_codex":[0.9989189,0.000114153,0.0002450864,0.0001965316,0.0001199798,0.0004053385],"domain_scores_gemma":[0.9987221,0.0006421709,0.00006795893,0.0002131826,0.00003785173,0.0003166976],"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":[0.0004556404,0.00008695906,0.02646669,0.0001813072,0.0001091024,0.00001109585,0.0001649088,0.00001110633,0.00004559476,0.9713262,0.000170668,0.0009707632],"study_design_scores_gemma":[0.00178644,0.0005042169,0.018587,0.0003534701,0.0003559584,0.0005208714,0.0005952926,0.9034436,0.000002411972,0.07292239,0.0006401882,0.0002881124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89609,0.004488907,0.08720525,0.003798042,0.00009229214,0.0005050391,0.00001835981,0.0000497688,0.007752354],"genre_scores_gemma":[0.9980286,0.0001203766,0.0001585268,0.0003196601,0.00008154264,0.0000596363,0.000008576153,0.00001123321,0.001211898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9034325,"threshold_uncertainty_score":0.3143686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466923941580913,"score_gpt":0.2687961945946385,"score_spread":0.2541269551788294,"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."}}