{"id":"W2552435377","doi":"10.3934/cpaa.2020010","title":"Droplet phase in a nonlocal isoperimetric problem under confinement","year":2019,"lang":"en","type":"preprint","venue":"Communications on Pure &amp Applied Analysis","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Isoperimetric inequality; Volume fraction; Physics; Drop (telecommunication); Limit (mathematics); Length scale; Phase (matter); Condensed matter physics; Mathematical physics; Quantum mechanics; Mathematical analysis; Mathematics; Thermodynamics","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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0006120423,0.0004563086,0.0009414182,0.001818873,0.000125554,0.0002239989,0.005421685,0.0002867484,0.00003610428],"category_scores_gemma":[0.00006164513,0.0004580923,0.0003244953,0.003669276,0.00009213841,0.00007873658,0.003991743,0.001364676,0.0001692983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689324,"about_ca_system_score_gemma":0.0001413287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002827773,"about_ca_topic_score_gemma":0.00007413459,"domain_scores_codex":[0.9971623,0.0001034818,0.0009206141,0.0008991554,0.0005077928,0.0004066527],"domain_scores_gemma":[0.9901946,0.0005114987,0.0003467467,0.008677763,0.0001410896,0.0001283239],"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":[0.000003825555,0.0007020113,0.000006020447,0.00006233079,0.0003805541,4.606309e-7,0.0002573746,0.7862725,0.0001109901,0.2066555,0.0000418651,0.005506563],"study_design_scores_gemma":[0.0005342512,0.00002155754,0.00001436345,0.00008830873,0.0002868624,5.722324e-7,0.00003829353,0.9729583,0.00005095348,0.02407362,0.001454779,0.0004781964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006397619,0.0004834885,0.9883443,0.001251252,0.00005478839,0.0008659014,0.000021146,0.0002675795,0.008071801],"genre_scores_gemma":[0.5914446,0.0001487059,0.4074683,0.0001669107,0.0000116388,0.0004489849,0.0001877907,0.00002671334,0.00009637199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5908048,"threshold_uncertainty_score":0.9999595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004250238144529,"score_gpt":0.3343932345635113,"score_spread":0.284350732182066,"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."}}