{"id":"W2941379221","doi":"10.32408/compositionality-1-3","title":"Fuzzy sets and presheaves","year":2019,"lang":"en","type":"article","venue":"Compositionality","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sheaf; Algorithm; Mathematics; Fuzzy set; Fuzzy logic; Computer science; Discrete mathematics; Artificial intelligence; Pure mathematics","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":[0.0001305611,0.00006646483,0.00008738822,0.00001988083,0.00007119712,0.00009624871,0.0002482956,0.00002895689,0.00002797916],"category_scores_gemma":[0.000003036625,0.00005709975,0.0000264591,0.00007185293,0.00003308499,0.0002388106,0.0001837367,0.00005813256,0.0001291683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001167551,"about_ca_system_score_gemma":0.00001581566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004246,"about_ca_topic_score_gemma":6.71408e-7,"domain_scores_codex":[0.9993576,0.00004403996,0.00009499837,0.000238778,0.0001471012,0.0001174937],"domain_scores_gemma":[0.9995328,0.0000626149,0.00002730977,0.0002895274,0.000029962,0.00005779581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009254074,0.0001045848,0.02437983,0.00003797042,0.00001822222,0.000007731148,0.0002135092,0.00006662637,0.001197807,0.9620382,0.002408052,0.009518242],"study_design_scores_gemma":[0.0003664093,0.00008327956,0.6970084,0.00001725246,0.000003098615,0.00005141222,0.000005561776,0.009261144,0.0002263521,0.2854926,0.007278412,0.0002061739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8377691,0.0005481595,0.01602314,0.004960003,0.0004815806,0.0002860013,0.00002138331,0.0002086267,0.139702],"genre_scores_gemma":[0.9775312,0.000006603033,0.02156555,0.0007850446,0.00002631727,0.000003717636,0.000009644623,0.000002158217,0.00006978461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6765456,"threshold_uncertainty_score":0.232846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012448910342833,"score_gpt":0.2408673444849296,"score_spread":0.2284184341420966,"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."}}