{"id":"W2754950191","doi":"10.1016/j.tcs.2017.09.007","title":"Finding modes with equality comparisons","year":2017,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Limits and Structures in Graph Theory","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sorting; Mathematics; Element (criminal law); Generalization; Maximal element; Equivalence (formal languages); Combinatorics; Set (abstract data type); Upper and lower bounds; Contrast (vision); Order (exchange); Discrete mathematics; Algorithm; Computer 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":[0.002711253,0.0009221894,0.001266001,0.002917761,0.002019813,0.00319647,0.002488769,0.002248369,0.01493896],"category_scores_gemma":[0.02489178,0.001043825,0.001163478,0.002202283,0.003201009,0.01277748,0.004874235,0.003535829,0.002080792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156846,"about_ca_system_score_gemma":0.0008360334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000587256,"about_ca_topic_score_gemma":0.0008011665,"domain_scores_codex":[0.9966092,0.00110371,0.000193832,0.001135475,0.0005303313,0.000427387],"domain_scores_gemma":[0.9824184,0.01182159,0.001011997,0.002920166,0.001144253,0.0006837453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009901475,0.0003776943,0.01159153,0.00045875,0.0001121426,0.0004283548,0.001688796,0.009995121,0.007898056,0.7782428,0.01005295,0.1781638],"study_design_scores_gemma":[0.00003736401,0.00006229513,0.0007042291,0.00004374904,0.00003847294,0.0001877119,0.0005056954,0.02057146,0.002382389,0.9729291,0.002508705,0.00002894203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3851587,0.0006238726,0.5782756,0.001739327,0.0002272461,0.0001985129,0.0008422614,0.001324103,0.03161035],"genre_scores_gemma":[0.8765855,0.0001803312,0.1134716,0.0002579169,0.0001183077,0.0001421096,0.0007109967,0.000333544,0.008199533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01493896,"threshold_uncertainty_score":0.04997575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07704094708051623,"score_gpt":0.362789671079231,"score_spread":0.2857487239987148,"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."}}