{"id":"W3111454271","doi":"10.1007/jhep06(2021)040","title":"Disentangling a deep learned volume formula","year":2021,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Research Foundation; University of Pennsylvania; Simons Foundation","keywords":"Analytic continuation; Continuation; Polynomial; Simple (philosophy); Knot (papermaking); Approximation error; Knot theory; Properties of polynomial roots","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":[],"consensus_categories":[],"category_scores_codex":[0.00005399111,0.0001035947,0.0002474804,0.00004304169,0.00004344713,0.00004158671,0.00009971549,0.00003983067,0.00003025916],"category_scores_gemma":[0.00001205136,0.00009602026,0.0002271022,0.0002144897,0.00000874369,0.0001520884,0.00001860036,0.0001542757,0.00000569374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004721927,"about_ca_system_score_gemma":0.00002670611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005400265,"about_ca_topic_score_gemma":0.000008082841,"domain_scores_codex":[0.9992794,0.00001659933,0.0002711974,0.00007118711,0.0002076295,0.0001539708],"domain_scores_gemma":[0.9995388,0.00002076801,0.00007933704,0.0001258427,0.000156813,0.0000784679],"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":[0.000004340224,0.00003671362,0.0001255251,0.00001344338,0.0002226534,0.0001004052,0.00008763954,0.9686231,0.0007655501,0.004749426,0.0003410708,0.02493011],"study_design_scores_gemma":[0.0004442957,0.00002905909,0.0000414491,0.00006198476,0.0001920476,0.00005209219,0.0001127106,0.9321158,0.01723656,0.04724795,0.002248007,0.0002180278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219688,0.00124691,0.8757083,0.0001019156,0.0003272721,0.000003956586,0.000001662813,0.00003969571,0.0006014202],"genre_scores_gemma":[0.9960001,0.0003888291,0.002472497,0.00005375971,0.0006788697,4.534799e-7,0.000006479448,0.00002788996,0.0003711914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8740312,"threshold_uncertainty_score":0.3915593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009446980975726526,"score_gpt":0.2051570109441941,"score_spread":0.1957100299684676,"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."}}