{"id":"W4400667274","doi":"10.48550/arxiv.2407.08774","title":"Fixing the dynamical evolution of self-interacting vector fields","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; HORIZON EUROPE Framework Programme; Institut Périmètre de physique théorique; European Commission","keywords":"Vector field; Vector (molecular biology); Statistical physics; Physics; Classical mechanics; Biology; Mechanics","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":[0.0006054576,0.0003273186,0.0003754162,0.0003962376,0.0005611652,0.00107026,0.0007578679,0.0008824979,0.001780999],"category_scores_gemma":[0.003079961,0.0002034708,0.000349905,0.0002522226,0.001310425,0.0009107027,0.001115314,0.0006817111,0.00015081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006252647,"about_ca_system_score_gemma":0.0005184698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090388,"about_ca_topic_score_gemma":0.001504954,"domain_scores_codex":[0.9998533,0.00005380763,0.000009192277,0.00001722024,0.00003297707,0.0000334919],"domain_scores_gemma":[0.9991165,0.0003948703,0.0002064001,0.00008890689,0.00008050489,0.0001128073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002027462,0.0002242647,0.005267966,0.0001343968,0.00007581595,0.0007227421,0.0004420943,0.7145587,0.02352424,0.2476922,0.0008354933,0.006319352],"study_design_scores_gemma":[0.0000215449,0.00004718754,0.0004386748,0.0000132012,0.000006256083,0.00003953431,0.00008878329,0.978314,0.00239255,0.01823906,0.0003856379,0.0000136654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438254,0.0001011696,0.04790016,0.0002621016,0.00005279707,0.00003839461,0.00005770093,0.00007913513,0.00768316],"genre_scores_gemma":[0.9842318,0.00007032705,0.01358222,0.00004679697,0.00001108444,0.00003393647,0.00007402565,0.0000369866,0.001912838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002090388,"threshold_uncertainty_score":0.005958021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727127587482303,"score_gpt":0.1773513713249657,"score_spread":0.1600800954501427,"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."}}