{"id":"W4413068292","doi":"10.1007/978-3-031-84560-4_4","title":"Functions","year":2025,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003771789,0.0002618029,0.000251265,0.000744501,0.0001746724,0.000259108,0.002690902,0.00009426694,0.00006328986],"category_scores_gemma":[0.000008339541,0.0002789742,0.0001000555,0.0005397862,0.0003227796,0.0004559929,0.001448661,0.0003667724,0.0003868619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688771,"about_ca_system_score_gemma":0.001343082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117417,"about_ca_topic_score_gemma":0.00001002335,"domain_scores_codex":[0.9976734,0.000009785505,0.0003649641,0.001029569,0.0006060982,0.0003161882],"domain_scores_gemma":[0.9980107,0.0002036932,0.0001471508,0.001264288,0.0002590372,0.0001151564],"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":[3.104115e-7,0.00001771269,0.000001919152,0.000005714349,0.000003413553,0.000003840196,0.0000520746,0.001004794,0.000003244349,0.7639917,0.009790094,0.2251252],"study_design_scores_gemma":[0.0001020247,0.00002517825,0.0002281234,0.0001055935,0.000003652497,0.000007702826,1.598795e-7,0.3039006,0.000005396225,0.4336162,0.2616917,0.0003136248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000002472234,0.0001237866,0.653294,0.0006156496,0.001014001,0.0001706138,0.000004844843,0.0001291368,0.3446455],"genre_scores_gemma":[0.01188476,0.00006577077,0.3442148,0.003260698,0.0007261015,0.00006835808,0.00002947399,0.00003657693,0.6397135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3303755,"threshold_uncertainty_score":0.9999663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902603899892056,"score_gpt":0.2646930209676415,"score_spread":0.2456669819687209,"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."}}