{"id":"W1523412023","doi":"10.1007/978-3-642-04639-1_16","title":"Cardinal Addition in Distributive Allegories","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Distributive property; Cardinality (data modeling); Computer science; Allegory; Relation (database); Function (biology); Algorithm; Discrete mathematics; Mathematics; Data mining; Pure mathematics; Art history","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":[0.001420961,0.0006677067,0.000859409,0.001639572,0.003465595,0.005303323,0.001175725,0.0008845798,0.009093613],"category_scores_gemma":[0.002889496,0.0008593489,0.0008787346,0.002812225,0.006507277,0.01191306,0.003250748,0.004603832,0.001471931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800835,"about_ca_system_score_gemma":0.0008789867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009793997,"about_ca_topic_score_gemma":0.001530832,"domain_scores_codex":[0.9987544,0.0003711976,0.00009467076,0.0002222652,0.00039669,0.000160791],"domain_scores_gemma":[0.9985883,0.0007910424,0.00006144676,0.0002377139,0.0001949938,0.0001265777],"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":[0.00001162775,0.000008920648,0.00003671752,0.0000179506,0.000001799876,0.00002291116,0.0001776522,0.0001516012,0.0001586552,0.9938166,0.0006368831,0.004958812],"study_design_scores_gemma":[0.000009503049,0.000008166625,0.0001009629,0.00001295396,0.000006989669,0.00008112556,0.00009495064,0.0006256197,0.0003562105,0.984263,0.01443329,0.000007206458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1185971,0.004434049,0.285422,0.003203125,0.001713255,0.000130794,0.0003633088,0.0005640221,0.5855723],"genre_scores_gemma":[0.8331473,0.002511305,0.05343458,0.0004636223,0.001049679,0.0001784604,0.000294502,0.0002018029,0.1087188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009093613,"threshold_uncertainty_score":0.03042114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166440949671731,"score_gpt":0.2346149027219745,"score_spread":0.2229504932252572,"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."}}