{"id":"W1877234769","doi":"","title":"Open Problem: Recursive Teaching Dimension Versus VC Dimension","year":2015,"lang":"en","type":"article","venue":"Conference on Learning Theory","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Concept class; Dimension (graph theory); Conjecture; Mathematics; Class (philosophy); VC dimension; Bounded function; Upper and lower bounds; Exponential function; Discrete mathematics; Function (biology); Combinatorics; Kolmogorov complexity; Algebra over a field; Pure mathematics; Computer science; Artificial intelligence; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003457816,0.0002912951,0.0003126099,0.0001519092,0.000540917,0.00062284,0.001892045,0.0001192952,0.00005753123],"category_scores_gemma":[0.001350283,0.0002473911,0.00006431404,0.0002137462,0.00008414831,0.0006434807,0.001462295,0.001343337,0.0006283189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003049,"about_ca_system_score_gemma":0.0002415538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008203436,"about_ca_topic_score_gemma":0.000002202207,"domain_scores_codex":[0.99661,0.001406264,0.0002611984,0.0007859244,0.0004701648,0.0004664875],"domain_scores_gemma":[0.9979714,0.0005576753,0.0002499337,0.0007169819,0.0002023342,0.000301718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002905737,0.00008613978,0.0001100727,0.000006425611,0.00002210403,0.00002982314,0.004219566,0.00393884,0.0002216039,0.8096939,0.001212322,0.1801686],"study_design_scores_gemma":[0.009279564,0.008050493,0.0005857079,0.001307894,0.00007032238,0.00007627461,0.003997988,0.4342583,0.001204508,0.4145547,0.124294,0.002320264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07354822,0.0002279805,0.4170951,0.006971203,0.00344498,0.001023285,0.000001715952,0.001605407,0.4960821],"genre_scores_gemma":[0.9520539,0.00001318172,0.03785367,0.0003294962,0.0001432355,0.00002693839,0.00001509524,0.00003563509,0.009528859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8785056,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272562214348579,"score_gpt":0.3247416508144249,"score_spread":0.2620160286709391,"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."}}