{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002647902,0.00009795255,0.0001830553,0.00006055575,0.00005257913,0.00003787813,0.0001730852,0.00004661628,0.00003373719],"category_scores_gemma":[0.0001276854,0.00008686826,0.0000312271,0.00008251415,0.00009773151,0.0002124685,0.0001517116,0.00005789159,0.000009197542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001278783,"about_ca_system_score_gemma":0.00001285986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004650235,"about_ca_topic_score_gemma":0.0000169206,"domain_scores_codex":[0.9989511,0.00001173813,0.0006329792,0.00007813478,0.0001640518,0.0001619961],"domain_scores_gemma":[0.9991578,0.0001752329,0.000214876,0.0002834982,0.0001200485,0.0000485309],"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":[0.00001646655,0.00008592649,0.001763982,0.0004874996,0.00001536568,8.985639e-7,0.01085072,0.0005916362,0.00001178031,0.9307452,0.01025991,0.04517054],"study_design_scores_gemma":[0.001511465,0.0001858357,0.002692512,0.00009747046,0.000005510088,0.00002988655,0.00151035,0.0862878,0.001394784,0.003563155,0.9023854,0.00033586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06366822,0.0006684723,0.9132613,0.001054874,0.0002107735,0.0008210743,0.0001038307,0.00005270124,0.02015875],"genre_scores_gemma":[0.6869762,0.0002387908,0.311857,0.0003205632,0.00002768677,0.0000561937,0.00002257277,0.000006742349,0.0004942177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9271821,"threshold_uncertainty_score":0.3542385,"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."}}