{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006554837,0.0009617374,0.001633685,0.002769509,0.002557628,0.004742908,0.002814384,0.003062234,0.02015571],"category_scores_gemma":[0.0536829,0.0009337047,0.0021206,0.003159761,0.004989357,0.01808921,0.004978907,0.005471168,0.001731986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673738,"about_ca_system_score_gemma":0.001724249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377372,"about_ca_topic_score_gemma":0.001424825,"domain_scores_codex":[0.9965183,0.001089437,0.0003760034,0.0008348471,0.0008393817,0.0003420799],"domain_scores_gemma":[0.9507023,0.0387666,0.001269214,0.003751551,0.004171296,0.001338993],"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":[0.00006198083,0.0000378402,0.000290853,0.0000896477,0.00001128614,0.00008986812,0.0001534264,0.0009647388,0.0002539293,0.9851183,0.004220488,0.008707814],"study_design_scores_gemma":[0.00002794795,0.00001913284,0.0001510019,0.00002784242,0.00001254206,0.000104641,0.00005771146,0.01124261,0.000415644,0.9852149,0.002713113,0.00001283882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04915608,0.002474113,0.8538113,0.01147558,0.0008779618,0.0003092945,0.001983527,0.001077097,0.07883509],"genre_scores_gemma":[0.7274346,0.003503174,0.2293498,0.004363764,0.004181703,0.001738739,0.00410079,0.0008814477,0.02444601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02015571,"threshold_uncertainty_score":0.06742752,"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."}}