{"id":"W4361866068","doi":"10.4230/lipics.icalp.2023.42","title":"Online Learning and Disambiguations of Partial Concept Classes","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Learnability; Class (philosophy); Extension (predicate logic); Computer science; Mathematics; Theoretical computer science; Artificial intelligence; Discrete mathematics; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005211924,0.001068649,0.002050257,0.002547089,0.001500066,0.00254161,0.002876219,0.001382216,0.003471116],"category_scores_gemma":[0.02592821,0.0009088269,0.002211471,0.002629264,0.004314469,0.01131706,0.005451177,0.004059644,0.0004484772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664406,"about_ca_system_score_gemma":0.00136389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603445,"about_ca_topic_score_gemma":0.001756028,"domain_scores_codex":[0.9947348,0.001407429,0.0003128235,0.00209572,0.001154921,0.0002943888],"domain_scores_gemma":[0.9861864,0.00933701,0.0008306853,0.00228745,0.0008529669,0.0005055373],"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":[0.0006238742,0.0002899156,0.008123293,0.0007365915,0.0004117428,0.0002991331,0.001302128,0.0676505,0.003251169,0.4787577,0.008361044,0.4301929],"study_design_scores_gemma":[0.00005167572,0.0001062792,0.001234395,0.00008969004,0.00008683983,0.0002410247,0.0001707788,0.2443784,0.002370111,0.7442271,0.006993493,0.00005012869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09735093,0.001984494,0.8922306,0.001495489,0.0001746672,0.0001633492,0.0007645912,0.0006100697,0.005225745],"genre_scores_gemma":[0.7501581,0.000806018,0.242074,0.0006626301,0.000329467,0.0003227794,0.001710779,0.0001649952,0.003771204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005211924,"threshold_uncertainty_score":0.02756357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07790816076508807,"score_gpt":0.2334005466304579,"score_spread":0.1554923858653698,"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."}}