{"id":"W2942259633","doi":"10.4086/toc.2019.v015a001","title":"","year":2019,"lang":"en","type":"article","venue":"Theory of Computing","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simons Institute for the Theory of Computing, University of California Berkeley; York University; National Science Foundation","keywords":"Property testing; Monotone polygon; Monotonic function; Mathematics; Combinatorics; Context (archaeology); Omega; Domain (mathematical analysis); Hypercube; Partially ordered set; Discrete mathematics; Boolean function; Function (biology); Mathematical analysis; Physics","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":[0.002863375,0.0001735091,0.0003520438,0.0001458255,0.0001307289,0.00007447047,0.001693467,0.00004341591,0.0000104796],"category_scores_gemma":[0.0001063846,0.0001569786,0.0001230416,0.000441962,0.00005931919,0.000334716,0.000723797,0.0002747095,0.00002765848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001204653,"about_ca_system_score_gemma":0.00003679632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171658,"about_ca_topic_score_gemma":1.420128e-7,"domain_scores_codex":[0.9978985,0.0005020011,0.0004105151,0.0004346691,0.0003494567,0.0004048529],"domain_scores_gemma":[0.9976211,0.001041548,0.0003113085,0.0008511809,0.00009135706,0.00008353419],"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":[0.00001427523,0.00005152602,0.01423131,0.00004761913,0.00002387506,0.000004051255,0.005450391,0.02836448,0.003706849,0.696437,0.000002587055,0.251666],"study_design_scores_gemma":[0.0008421378,0.0002856356,0.04427939,0.0001309269,0.000004330605,0.00003786316,0.000280219,0.8644394,0.005903226,0.08344388,0.00006091296,0.0002920867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5127189,0.00003964366,0.4854419,0.0001411346,0.0002694591,0.00007301553,9.931803e-8,0.0001921647,0.001123768],"genre_scores_gemma":[0.9059152,6.379507e-7,0.09365368,0.0002246655,0.00007378549,3.896058e-7,4.752016e-7,0.000009232298,0.0001219099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8360749,"threshold_uncertainty_score":0.6401402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006081717006494044,"score_gpt":0.2297844483486752,"score_spread":0.2237027313421811,"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."}}