{"id":"W4323074617","doi":"10.1002/spe.3198","title":"Fast number parsing without fallback","year":2023,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Correctness; Computer science; String (physics); Parsing; Rust (programming language); Point (geometry); Algorithm; Function (biology); Binary number; Floating point; Arithmetic; Theoretical computer science; Programming language; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400952,0.001367941,0.0008486005,0.001787438,0.001061901,0.002643932,0.002108857,0.001032671,0.03694851],"category_scores_gemma":[0.01167032,0.0006638311,0.0008021432,0.00182557,0.0008566554,0.00436162,0.002295548,0.001907856,0.02592501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099642,"about_ca_system_score_gemma":0.001385763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693963,"about_ca_topic_score_gemma":0.001473563,"domain_scores_codex":[0.9972844,0.0005361463,0.0002903524,0.0006598813,0.001034228,0.0001950003],"domain_scores_gemma":[0.9941017,0.001656187,0.0002093395,0.001918294,0.001981795,0.0001327715],"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":[0.0005884044,0.0000922538,0.001433653,0.0005202179,0.00004601919,0.0004000667,0.0004083091,0.009172691,0.01687974,0.1213524,0.1782961,0.6708102],"study_design_scores_gemma":[0.0001705147,0.0001184249,0.001417339,0.0004504188,0.00006947199,0.0009068175,0.0001304057,0.136871,0.08060749,0.1840709,0.5950036,0.0001837558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006794208,0.0007330135,0.8891836,0.001187906,0.0008524093,0.0001149954,0.001491252,0.06951277,0.0301298],"genre_scores_gemma":[0.1228608,0.0005707139,0.8151072,0.001401493,0.0004114616,0.0002377683,0.006512104,0.01676045,0.03613793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03694851,"threshold_uncertainty_score":0.1236051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836546243983597,"score_gpt":0.3547149455127382,"score_spread":0.3263494830729022,"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."}}