{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004558755,0.0004259386,0.0004286469,0.0008379391,0.0006834036,0.001443805,0.0004704713,0.0005233453,0.005470157],"category_scores_gemma":[0.00236952,0.0001685796,0.0003933203,0.0006022003,0.00148016,0.003082251,0.0009254894,0.0006717293,0.001244204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005879581,"about_ca_system_score_gemma":0.0004326142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004358603,"about_ca_topic_score_gemma":0.0006109087,"domain_scores_codex":[0.9993435,0.0001188429,0.00004671609,0.0002416379,0.0001233085,0.0001260674],"domain_scores_gemma":[0.9989495,0.0003995187,0.0001368698,0.0001396569,0.000244612,0.0001299126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005293453,0.0001528567,0.003762605,0.0004059411,0.00005108463,0.0003923648,0.0005387774,0.004371218,0.02813658,0.8309367,0.007224247,0.1234984],"study_design_scores_gemma":[0.00005277666,0.0002603706,0.003184659,0.00009465687,0.00005011631,0.002892264,0.0004016823,0.0345528,0.02080158,0.8880929,0.0495213,0.00009503216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.4115191,0.001540082,0.5082458,0.001537835,0.0006149705,0.0001440928,0.001876007,0.001073629,0.07344842],"genre_scores_gemma":[0.9139144,0.0006053034,0.07104676,0.0003829567,0.0002190878,0.0001458982,0.0009482522,0.0001332333,0.01260408],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9945298,"threshold_uncertainty_score":0,"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."}}