{"id":"W4391800534","doi":"10.48550/arxiv.2402.06791","title":"On numerical diameters and linear maps","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; University of Oxford","keywords":"Mathematics; Geology; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005089291,0.0003156597,0.0003587384,0.0002581518,0.00003295807,0.00002861043,0.000261352,0.0002329085,0.00003351479],"category_scores_gemma":[0.00002240596,0.0003389254,0.0001818667,0.0003927477,0.00008088477,0.00004825948,0.0005416145,0.0008892175,0.0001452622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801269,"about_ca_system_score_gemma":0.0000114592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002203637,"about_ca_topic_score_gemma":0.000002606877,"domain_scores_codex":[0.9989133,0.00002881319,0.0001420963,0.000621277,0.00005769341,0.0002368585],"domain_scores_gemma":[0.9992548,0.00009768167,0.00003562628,0.0004434001,0.00002277642,0.0001456784],"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":[0.00002696281,0.00003781399,0.0001324264,0.0002932877,0.0003171958,0.0004335282,0.00004721513,0.9684253,0.00012265,0.02421971,0.001869634,0.004074307],"study_design_scores_gemma":[0.0001260991,0.00006560789,0.0000460986,0.0001667003,0.0002348217,0.000002779845,0.00001882438,0.790175,0.0006318126,0.2040782,0.003824061,0.0006299574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3441113,0.0004485387,0.6445602,0.00008437967,0.0004381216,0.0003010465,0.00008099999,0.002824995,0.007150348],"genre_scores_gemma":[0.9952281,0.0004850082,0.003550265,0.0000537427,0.00005811188,0.000001572964,0.00002039248,0.00006129946,0.0005414955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6511168,"threshold_uncertainty_score":0.9999063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112394689240193,"score_gpt":0.1818407196741711,"score_spread":0.1507167727817691,"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."}}