{"id":"W2011448043","doi":"10.4064/cm112-2-1","title":"Characterizing Sidon sets by interpolation properties of subsets","year":2008,"lang":"en","type":"article","venue":"Colloquium Mathematicum","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Interpolation (computer graphics); Statistics; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004948908,0.0003190024,0.0007499006,0.0001297284,0.0001548531,0.00003663311,0.0003381568,0.0001600029,0.0002816232],"category_scores_gemma":[0.0007366439,0.0002556128,0.0001945297,0.000249889,0.0001939007,0.0002817386,0.0001311973,0.0001726751,0.00008447449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004962314,"about_ca_system_score_gemma":0.00005078987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007736537,"about_ca_topic_score_gemma":0.000002427976,"domain_scores_codex":[0.9977071,0.00007799136,0.001019776,0.0002967047,0.000514744,0.0003837353],"domain_scores_gemma":[0.9982311,0.000305122,0.0005869418,0.0005700103,0.0001773072,0.0001295111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001186443,0.002014613,0.0005343969,0.005486164,0.0002561875,0.00002701173,0.01328139,6.088279e-7,0.8548197,0.1023566,0.02073712,0.0003674991],"study_design_scores_gemma":[0.003251237,0.0006125194,0.0005819551,0.004791975,0.0004381166,0.000669384,0.002675186,0.09460976,0.3845591,0.5030893,0.002057321,0.002664085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825882,0.0001255771,0.008613735,0.000228643,0.000152262,0.0007476455,0.00004284062,0.0001520268,0.007349109],"genre_scores_gemma":[0.9870777,0.00002857527,0.01094478,0.00007015459,0.00003557458,0.00007936195,0.0000148265,0.00006848732,0.0016806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4702606,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951706740541106,"score_gpt":0.2771140403608573,"score_spread":0.2175969729554463,"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."}}