{"id":"W4312302257","doi":"10.23952/asvao.4.2022.3.03","title":"Nonlinear nonhomogeneous logistic equations of superdiffusive type","year":2022,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Differential Equations and Boundary Problems","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Center for Research and Development in Mathematics and Applications","keywords":"Nonlinear system; Type (biology); Mathematics; Physics; Applied mathematics; Mathematical analysis; Statistical physics; Geology; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002873433,0.0001363567,0.00035445,0.0003336925,0.0004293641,0.0000497542,0.0001226157,0.00004561316,0.001361799],"category_scores_gemma":[0.00008051397,0.0001316686,0.0001075618,0.001425392,0.00006886812,0.0000435612,0.0001182523,0.000100678,0.00000226652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003939606,"about_ca_system_score_gemma":0.00006307024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327692,"about_ca_topic_score_gemma":0.00005354444,"domain_scores_codex":[0.998749,0.00007690601,0.0004336447,0.0002630916,0.0003323499,0.0001450593],"domain_scores_gemma":[0.9991109,0.0001760413,0.0002410732,0.0002691813,0.000153089,0.00004969663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003501428,0.0003230313,0.0001590528,0.00003501159,0.0007508964,0.000001667827,0.0007760185,0.9299678,0.0008811889,0.06526903,0.00003916657,0.001762158],"study_design_scores_gemma":[0.000424196,0.0001011467,0.00002971858,0.000002633386,0.001949694,0.000002053624,0.0006862964,0.9861421,0.0001809247,0.01019615,0.00009880167,0.0001863051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09540825,0.00006815382,0.9030392,0.00003632495,0.00005376854,0.0002990932,0.00009434706,0.0000430712,0.0009578037],"genre_scores_gemma":[0.9251925,0.00003179738,0.0735237,0.00003899478,0.00002588659,0.00004591143,0.000821706,0.00001933488,0.0003001381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8297843,"threshold_uncertainty_score":0.9995511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822263361016696,"score_gpt":0.2942800355836246,"score_spread":0.2460574019734577,"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."}}