{"id":"W1586953409","doi":"10.5109/13505","title":"INFORMATIONAL REPRESENTABILITY FOR CONTEXTS IN DEDEKIND CATEGORIES","year":2002,"lang":"en","type":"article","venue":"Bulletin of informatics and cybernetics","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dedekind cut; Mathematics; Dedekind sum; Statistics; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003913807,0.0006048794,0.0007076164,0.002729275,0.003099118,0.004762772,0.001571799,0.001698562,0.004702894],"category_scores_gemma":[0.007033535,0.0006409865,0.002112568,0.001795139,0.004909129,0.01132025,0.004893532,0.003929589,0.0007666116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002013731,"about_ca_system_score_gemma":0.001102158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506806,"about_ca_topic_score_gemma":0.001031663,"domain_scores_codex":[0.9953647,0.001398808,0.0004537161,0.0008472467,0.001312202,0.0006233321],"domain_scores_gemma":[0.9950345,0.002507942,0.000312513,0.0009287698,0.0009594431,0.0002568424],"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":[0.000008637866,0.000005431062,0.00008465573,0.00002351881,0.000003214102,0.00005222576,0.0002657925,0.0003482659,0.0003017366,0.9962602,0.000205083,0.002441199],"study_design_scores_gemma":[0.000007359482,0.00001272467,0.00009514397,0.0000180747,0.00000967263,0.00009663646,0.000122402,0.002507269,0.000762378,0.9904936,0.005859373,0.00001541507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08747251,0.001548475,0.858609,0.002628319,0.0002334539,0.000138228,0.0006221129,0.0003556139,0.04839227],"genre_scores_gemma":[0.8126887,0.001057818,0.1761353,0.0007243251,0.000298201,0.0003058674,0.0008748088,0.0001132745,0.00780168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004762772,"threshold_uncertainty_score":0.02069843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373580719787297,"score_gpt":0.2262101696272904,"score_spread":0.2124743624294175,"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."}}