{"id":"W2583189786","doi":"10.1007/b100989","title":"Algorithmic Learning Theory","year":2004,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Cognitive science; Psychology","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":[0.0008880583,0.0009823106,0.001117282,0.001133265,0.0009003729,0.00344321,0.001453149,0.001220208,0.02006874],"category_scores_gemma":[0.002294317,0.0005171125,0.0007623426,0.00157395,0.002351813,0.003578248,0.001390825,0.004072058,0.008492776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412848,"about_ca_system_score_gemma":0.001093635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009550292,"about_ca_topic_score_gemma":0.001158507,"domain_scores_codex":[0.9993148,0.0001974214,0.00003252168,0.0001503962,0.0002618645,0.00004308911],"domain_scores_gemma":[0.9992709,0.0003517892,0.00002947788,0.0001810797,0.0001255263,0.00004135016],"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":[0.00001083526,0.00002743671,0.0001620274,0.0001629104,0.00003116194,0.00002917343,0.00009440049,0.00209239,0.0001645434,0.8360487,0.06848095,0.0926954],"study_design_scores_gemma":[0.000006178655,0.00000561945,0.0001228922,0.00004945143,0.000008205076,0.00005229915,0.0000173343,0.002512872,0.0001035313,0.9092927,0.08782365,0.000005227205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00315523,0.05334743,0.4318247,0.01192011,0.001991167,0.00009558594,0.0008029527,0.001146271,0.4957166],"genre_scores_gemma":[0.2381768,0.05666224,0.2564741,0.005932282,0.006565399,0.0006139847,0.004306675,0.001227128,0.4300415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02006874,"threshold_uncertainty_score":0.06713659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009120299820187654,"score_gpt":0.2312141218747951,"score_spread":0.2220938220546075,"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."}}