{"id":"W2399456157","doi":"","title":"Computing Derivatives via Compression: An Exact Scheme.","year":2011,"lang":"en","type":"article","venue":"Cologne Twente Workshop on Graphs and Combinatorial Optimization","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Scheme (mathematics); Computer science; Compression (physics); Data compression; Computational science; Parallel computing; Algorithm; Mathematics; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009686914,0.001071496,0.001575822,0.001638258,0.001264309,0.002958855,0.002793445,0.001329908,0.01524428],"category_scores_gemma":[0.007676953,0.0006293524,0.001099716,0.003670254,0.00157866,0.00775013,0.004456739,0.002233642,0.003902105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136352,"about_ca_system_score_gemma":0.001887268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568453,"about_ca_topic_score_gemma":0.005357695,"domain_scores_codex":[0.9983198,0.0002900477,0.0001315223,0.0003405388,0.0007074425,0.0002107013],"domain_scores_gemma":[0.9964187,0.001045228,0.0001206754,0.001944353,0.0003532523,0.0001177257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00101533,0.0002382268,0.001447401,0.0004029876,0.0001260296,0.0002276591,0.0003301661,0.04406271,0.009659033,0.2882509,0.0322777,0.6219619],"study_design_scores_gemma":[0.0001397184,0.0001193601,0.0005367016,0.00006579085,0.00007894556,0.0002315171,0.0001239361,0.2532892,0.01094394,0.7149163,0.01950636,0.00004810471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04768618,0.001733169,0.9115059,0.001325849,0.0004228462,0.0002698835,0.001502144,0.008257779,0.02729631],"genre_scores_gemma":[0.3836449,0.0006845644,0.5954526,0.000512311,0.0003136821,0.0002652614,0.00276364,0.00136975,0.01499328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01524428,"threshold_uncertainty_score":0.0509972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798756685452442,"score_gpt":0.2556320087688388,"score_spread":0.2276444419143144,"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."}}