{"id":"W2291724690","doi":"","title":"A linear-non-linear model for a computational call-by-value lambda calculus","year":2008,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Dalhousie University","funders":"","keywords":"Linear logic; Mathematics; Monad (category theory); Lambda calculus; Simply typed lambda calculus; Categorical variable; Operator (biology); Calculus (dental); Semantics (computer science); Algebra over a field; Discrete mathematics; Typed lambda calculus; Computer science; Pure mathematics; Programming language; Functor","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":[],"consensus_categories":[],"category_scores_codex":[0.0002291824,0.0001651683,0.0002167205,0.00005289365,0.0002439667,0.00005360843,0.0005288864,0.00009582499,0.000004870202],"category_scores_gemma":[0.00003111931,0.0001331094,0.0001262463,0.0001952102,0.00006173815,0.0002204321,0.0001246139,0.00009280422,0.00009701485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004032495,"about_ca_system_score_gemma":0.0002019101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261598,"about_ca_topic_score_gemma":0.00001805437,"domain_scores_codex":[0.998569,0.00002813442,0.0002937084,0.0004219947,0.0003281564,0.0003590806],"domain_scores_gemma":[0.9991887,0.00009743754,0.00007921662,0.0003032163,0.0001886236,0.0001428408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002103763,0.0003113269,0.0003164205,0.00005506778,0.00006264998,0.00002908074,0.001943162,0.3178562,0.00009556591,0.6190693,0.05685165,0.003388567],"study_design_scores_gemma":[0.0006276483,0.0001010565,0.0000234418,0.00000146788,0.00000391799,0.00004831777,0.000006696594,0.9844482,0.0001306253,0.007235527,0.007182588,0.0001904938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001255326,0.00005840815,0.9949837,0.0004635994,0.0002260175,0.0004236162,0.000004881545,0.000237843,0.002346611],"genre_scores_gemma":[0.7742572,0.000003198803,0.2166227,0.0006489796,0.0001373209,0.00006682752,0.0000245143,0.00001336428,0.008225878],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.778361,"threshold_uncertainty_score":0.5428044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074500272266207,"score_gpt":0.2827836597704524,"score_spread":0.2420386570477903,"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."}}