{"id":"W4407035833","doi":"10.33993/jnaat541-1434","title":"Some simple full-range inverse-normal approximations","year":2025,"lang":"en","type":"article","venue":"Journal of Numerical Analysis and Approximation Theory","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Approximation error; Range (aeronautics); Mathematics; Inverse; Simple (philosophy); Approximations of π; Function (biology); Constant (computer programming); Error function; Applied mathematics; Mathematical analysis; Algorithm; Computer science; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002731456,0.001064902,0.0007759975,0.001324645,0.0005206227,0.001554434,0.001911504,0.001272735,0.01080598],"category_scores_gemma":[0.012076,0.0005498103,0.001023497,0.001103391,0.0008294751,0.002410742,0.001317188,0.002170463,0.006022745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124471,"about_ca_system_score_gemma":0.0007981798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268451,"about_ca_topic_score_gemma":0.003803004,"domain_scores_codex":[0.9984491,0.0003910804,0.00007621296,0.000188864,0.000779421,0.0001153568],"domain_scores_gemma":[0.998399,0.0007104655,0.00009530223,0.0003383491,0.0004111337,0.00004584676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001301048,0.0000686729,0.0008715232,0.0002461937,0.00003301281,0.0003076007,0.0002438035,0.2331233,0.004921869,0.5592015,0.01595843,0.184894],"study_design_scores_gemma":[0.00001776587,0.0000407527,0.0002366924,0.00007904949,0.00001712091,0.0004274402,0.00004493267,0.8038737,0.002845573,0.1632982,0.02906715,0.00005166316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001676146,0.0004434107,0.9874386,0.0001548158,0.0001251698,0.00002924374,0.00007656691,0.000323414,0.009732706],"genre_scores_gemma":[0.1057835,0.001726402,0.8676317,0.0003435279,0.0002039807,0.0001903094,0.0003130808,0.0004210465,0.02338631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01080598,"threshold_uncertainty_score":0.03614968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980272599678139,"score_gpt":0.3038267216426017,"score_spread":0.2740239956458203,"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."}}