{"id":"W2050570613","doi":"10.1145/337244.337257","title":"Learning functions represented as multiplicity automata","year":2000,"lang":"en","type":"article","venue":"Journal of the ACM","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Learnability; Mathematics; Discrete mathematics; Multiplicity (mathematics); Disjoint sets; Combinatorics; Computer science; Artificial intelligence","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":[0.001406796,0.0005548053,0.00102096,0.0009084996,0.0007636292,0.001195746,0.002143541,0.001182069,0.003299191],"category_scores_gemma":[0.01314833,0.0003638208,0.0009472074,0.0009731338,0.00149699,0.006509809,0.001685351,0.001975204,0.0004307005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853962,"about_ca_system_score_gemma":0.000782278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002138838,"about_ca_topic_score_gemma":0.002217648,"domain_scores_codex":[0.9989859,0.0002320993,0.00006571834,0.0003434066,0.0002211913,0.000151606],"domain_scores_gemma":[0.9931366,0.004886003,0.0005704183,0.0008668691,0.000366849,0.0001731491],"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":[0.0003846436,0.0001458336,0.005441482,0.0001846381,0.00005703388,0.0003065666,0.0003363865,0.3411321,0.006280007,0.523066,0.001878838,0.1207863],"study_design_scores_gemma":[0.00001187339,0.00003702882,0.0001366054,0.000006837374,0.000008553747,0.00005161167,0.00001648882,0.828723,0.001540238,0.1689597,0.0004981069,0.00001005266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1372405,0.0002388704,0.8582624,0.0005686405,0.00004196989,0.00004700225,0.0001871047,0.0006980248,0.002715655],"genre_scores_gemma":[0.8409901,0.0001954903,0.1544117,0.0001920075,0.00008210597,0.0001344955,0.0003152884,0.00008038546,0.003598384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003299191,"threshold_uncertainty_score":0.01345146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008940393291089208,"score_gpt":0.2585674569749757,"score_spread":0.2496270636838865,"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."}}