{"id":"W585824775","doi":"","title":"Geometric ordering of concepts, logical disjunction, and learning by induction","year":2004,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mereology; Computer science; Distributive property; Theoretical computer science; Convexity; Distributive lattice; Representation (politics); Boolean algebra; Closure (psychology); Artificial intelligence; Algorithm; Mathematics; Pure mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004246933,0.0001059014,0.0001156601,0.0002404527,0.0001621376,0.0001641372,0.0003285134,0.00005249178,0.00006077906],"category_scores_gemma":[0.0004063049,0.0001004669,0.00002389543,0.0007766929,0.0001224702,0.0005661846,0.0001230792,0.0002160041,0.00005006064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004866396,"about_ca_system_score_gemma":0.0000608178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004575654,"about_ca_topic_score_gemma":0.000005730781,"domain_scores_codex":[0.9987045,0.00004434597,0.000272746,0.0003346607,0.0004961139,0.0001476452],"domain_scores_gemma":[0.9993235,0.00009555685,0.0001210504,0.0001083704,0.0002986316,0.00005290422],"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":[0.000006477135,0.00007635309,0.00003795194,0.0000049416,0.000006475404,7.478725e-7,0.00009647039,0.002625106,0.001241481,0.7465611,0.00004808642,0.2492948],"study_design_scores_gemma":[0.0002814994,0.00119589,0.004305908,0.0001371227,0.00001601303,0.00001416748,0.001130783,0.1876722,0.09386558,0.7053829,0.005141131,0.0008567385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02133041,0.00004249223,0.9745063,0.001102579,0.0002249702,0.0001012753,0.000005352055,0.00006573808,0.002620932],"genre_scores_gemma":[0.993511,0.00006920581,0.006132955,0.00009491937,0.00004785381,0.000007677532,0.00001860747,0.000003509857,0.0001143184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9721805,"threshold_uncertainty_score":0.4096923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009347353087491,"score_gpt":0.3290345827263336,"score_spread":0.2280998474175845,"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."}}