{"id":"W4399695768","doi":"10.48550/arxiv.2406.09227","title":"Well-posedness of aggregation-diffusion systems with irregular kernels","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Theoretical and Applied Studies in Material Sciences and Geometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Diffusion; Statistical physics; Mathematics; Computer science; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149237,0.0008545503,0.0008657739,0.001017528,0.0008874942,0.002176027,0.0009248498,0.001704815,0.0006515756],"category_scores_gemma":[0.003989568,0.0004164909,0.0007480889,0.0003812307,0.002983145,0.001767295,0.002704305,0.001120503,0.00009893852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135066,"about_ca_system_score_gemma":0.0009909605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494051,"about_ca_topic_score_gemma":0.001533856,"domain_scores_codex":[0.9993623,0.000227433,0.00003575235,0.0001477997,0.0001157519,0.000110895],"domain_scores_gemma":[0.9981065,0.0008439778,0.0004450951,0.00008939324,0.0002073447,0.0003076261],"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":[0.0001253348,0.00006408653,0.002915719,0.0001579012,0.00009510585,0.0007152748,0.0006134733,0.4087676,0.02178213,0.5607331,0.0008200541,0.00321021],"study_design_scores_gemma":[0.00001818539,0.00002344773,0.0004075488,0.00001024371,0.000008674098,0.00006613525,0.00006245363,0.9247354,0.001129498,0.07316121,0.0003594404,0.00001774187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6409916,0.001232393,0.3435456,0.00234478,0.00012622,0.00006163126,0.0001512614,0.00009417375,0.0114523],"genre_scores_gemma":[0.9842556,0.0002725428,0.01150572,0.000103069,0.00004271121,0.00004700842,0.00005893349,0.00002065809,0.00369375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003494051,"threshold_uncertainty_score":0.009799719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170652630040213,"score_gpt":0.1591941833609433,"score_spread":0.142128920356922,"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."}}