{"id":"W3151060349","doi":"10.5206/mt.v3i1.14661","title":"How to hunt wild constants","year":2023,"lang":"en","type":"preprint","venue":"Maple Transactions","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limit (mathematics); Computer science; Float (project management); Calculator; Inverse trigonometric functions; Software; Symbolic computation; Conjecture; Constant (computer programming); Inverse; Computation; Series (stratigraphy); Point (geometry); Function (biology); Theoretical computer science; Discrete mathematics; Algorithm; Mathematics; Programming language; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002577249,0.0002572338,0.0003465706,0.0002122307,0.0001924063,0.0005765414,0.001116195,0.0001669277,0.00004030272],"category_scores_gemma":[0.00003314178,0.0002502298,0.0002185247,0.000622898,0.00004536843,0.000146547,0.0001809989,0.0006249188,0.0001955695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000731227,"about_ca_system_score_gemma":0.0001188442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768128,"about_ca_topic_score_gemma":0.0000469363,"domain_scores_codex":[0.9981301,0.0001076322,0.0002286379,0.0007759423,0.0003527912,0.0004049202],"domain_scores_gemma":[0.998396,0.0001729615,0.00006832225,0.0009998191,0.00008062492,0.0002822265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007787334,0.0002113534,0.00002003349,0.0001401894,0.0001998423,0.00013417,0.001152706,0.005741691,0.0009595483,0.008542951,0.004423365,0.9784664],"study_design_scores_gemma":[0.001231943,0.0005223672,0.003126552,0.0007329509,0.0002268781,0.00009144754,0.0006478547,0.1749465,0.01031537,0.19848,0.6056042,0.004073994],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006357528,0.00004038048,0.9665947,0.02812129,0.003543559,0.000362425,0.0001365079,0.0007235807,0.0004139981],"genre_scores_gemma":[0.02254657,0.00006343015,0.9673156,0.000581559,0.0001931555,0.0002487215,0.000006610299,0.0000419425,0.009002436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9743924,"threshold_uncertainty_score":0.999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668388024161281,"score_gpt":0.3085335090658384,"score_spread":0.2416947066497103,"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."}}