{"id":"W2126472279","doi":"10.1016/j.ic.2007.06.002","title":"Some natural conditions on incremental learning","year":2007,"lang":"en","type":"article","venue":"Information and Computation","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National University of Singapore","keywords":"Natural (archaeology); Computer science; Artificial intelligence; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002663934,0.00005997188,0.00004663054,0.0001557752,0.00022421,0.000170735,0.00007410083,0.00002233766,0.000003060124],"category_scores_gemma":[0.00002571384,0.00005643554,0.00001600478,0.0001279578,0.00001392531,0.001373499,0.00003494434,0.0001564043,0.00008680779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002165286,"about_ca_system_score_gemma":0.00001026756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000125259,"about_ca_topic_score_gemma":6.863483e-7,"domain_scores_codex":[0.9994728,0.00002227697,0.0001682893,0.00006757806,0.000165134,0.0001039443],"domain_scores_gemma":[0.9997192,0.00006546977,0.00008750928,0.00004459924,0.00004191751,0.00004127976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001158184,0.00002462397,0.0007492849,0.00001542804,0.00001038869,0.000002340141,0.002728879,0.02248187,0.0001181538,0.2033758,0.000502119,0.7699795],"study_design_scores_gemma":[0.0004908369,0.0001227308,0.0439408,0.0000143371,0.000001590295,0.00002109912,0.0002247963,0.9476333,0.0002429411,0.002671472,0.004509069,0.0001270798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2627982,0.0000270334,0.7321746,0.0005910374,0.0004544833,0.00009384855,7.963179e-7,0.0002870847,0.003572953],"genre_scores_gemma":[0.9938484,0.000003294824,0.005047283,0.0009267452,0.00006124143,0.00000152667,0.00005915505,0.000001556201,0.00005074721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9251514,"threshold_uncertainty_score":0.2301375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006486232717059994,"score_gpt":0.2678587035544024,"score_spread":0.2613724708373424,"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."}}