{"id":"W2750303663","doi":"10.1142/s0219199718500220","title":"Droplet breakup in the liquid drop model with background potential","year":2018,"lang":"en","type":"preprint","venue":"Communications in Contemporary Mathematics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"","keywords":"Breakup; Drop (telecommunication); Liquid drop; Semi-empirical mass formula; Regularization (linguistics); Physics; Limit (mathematics); Kernel (algebra); Statistical physics; Mathematical physics; Mathematical analysis; Mathematics; Mechanics; Quantum mechanics; Combinatorics","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"],"consensus_categories":[],"category_scores_codex":[0.001190116,0.0003240304,0.0006773473,0.000338748,0.0002021656,0.0001719643,0.003282065,0.0003000724,0.00001671903],"category_scores_gemma":[0.0001039433,0.000295185,0.0001121891,0.000541846,0.0004249979,0.0001686278,0.001258437,0.0009264523,0.000136004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414453,"about_ca_system_score_gemma":0.0002857709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004498127,"about_ca_topic_score_gemma":0.000352252,"domain_scores_codex":[0.9977639,0.00002986731,0.001338724,0.0004965193,0.00009586881,0.0002751315],"domain_scores_gemma":[0.9947873,0.0002489348,0.0008735167,0.003936792,0.0001087596,0.00004472176],"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":[0.00003184172,0.0009867708,0.0001435803,0.0002152835,0.00003901478,0.000003939318,0.00521417,0.001032608,0.000002161666,0.9915546,0.0007256031,0.00005043652],"study_design_scores_gemma":[0.000420962,0.00006918403,0.0001838118,0.0002885199,0.00001195744,0.00001117614,0.000651984,0.269733,0.000001105454,0.7266208,0.001629989,0.0003775534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01312917,0.004698039,0.932331,0.004232399,0.00009669942,0.001460631,0.0006265405,0.00005561444,0.04336995],"genre_scores_gemma":[0.940801,0.0004647478,0.05682382,0.0003012443,0.00006880244,0.00100961,0.000327789,0.00005600994,0.0001469688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9276718,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1753321107243026,"score_gpt":0.3112582889415444,"score_spread":0.1359261782172418,"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."}}