{"id":"W2962847591","doi":"10.23638/lmcs-15(3:24)2019","title":"Approximability in the GPAC","year":2020,"lang":"en","type":"article","venue":"mediaTUM  (Technical University of Munich)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Computation; Ordinary differential equation; Algebraic number; Computability; Applied mathematics; Computer science; Differential equation; Discrete mathematics; Algebra over a field; Algorithm; Pure mathematics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008514237,0.0001416659,0.0003024359,0.00006408621,0.00009012649,0.00002384794,0.004085197,0.0001366547,0.00004152318],"category_scores_gemma":[0.0004287335,0.0001239024,0.0001537849,0.001020593,0.0003860558,0.0002506217,0.001580338,0.0005623753,0.00003492408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007913064,"about_ca_system_score_gemma":0.00008242568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493497,"about_ca_topic_score_gemma":0.000110076,"domain_scores_codex":[0.998125,0.0003863999,0.0002281836,0.0004986088,0.0004785861,0.0002832778],"domain_scores_gemma":[0.9980036,0.0005972093,0.00009977476,0.001083442,0.00007339274,0.0001426084],"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":[0.0007098747,0.00949472,0.06090628,0.0009845749,0.0001753382,0.001673866,0.08925839,0.003097634,0.006376031,0.4747595,0.04727601,0.3052877],"study_design_scores_gemma":[0.006567709,0.002365194,0.3452374,0.00009144688,0.0001050734,0.00007694572,0.005547271,0.4449564,0.0008925177,0.06804908,0.1241196,0.001991374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2361771,0.0002883556,0.664336,0.07843077,0.0003604332,0.001348816,0.00001926752,0.0007532097,0.01828596],"genre_scores_gemma":[0.9576766,0.00002365822,0.04168662,0.0005521164,0.00003495132,4.797214e-7,0.00000266924,0.000004117581,0.00001880077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7214994,"threshold_uncertainty_score":0.759138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032173618310249,"score_gpt":0.1902378593473329,"score_spread":0.1699161231642304,"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."}}