{"id":"W4234421052","doi":"10.1007/978-0-387-39940-9_4049","title":"Wrapper Adaptability","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adaptability; Computer science; Biology; Ecology","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":[0.0003454038,0.0007852734,0.0005217785,0.0009044243,0.0004837354,0.001693857,0.001352714,0.000635388,0.03175074],"category_scores_gemma":[0.001829334,0.0004558981,0.0006173857,0.001100663,0.0003782128,0.002450122,0.001912507,0.0009432121,0.02334142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227754,"about_ca_system_score_gemma":0.0004097106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005236252,"about_ca_topic_score_gemma":0.0005742731,"domain_scores_codex":[0.9996228,0.00003208733,0.00002720791,0.0001162365,0.0001586033,0.00004309627],"domain_scores_gemma":[0.99928,0.0001352402,0.00003335709,0.0003948423,0.0001156571,0.0000409216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000829947,0.00009453521,0.0007085031,0.0003342248,0.00003638736,0.0002916012,0.0002190786,0.004780431,0.01353024,0.04121819,0.0750021,0.8637018],"study_design_scores_gemma":[0.00002547646,0.0000828944,0.001797288,0.0001967258,0.00007492578,0.001775801,0.0001294142,0.03213103,0.0320592,0.09014699,0.8415221,0.00005812221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01949991,0.003562987,0.6567351,0.001013038,0.0008536135,0.0003244723,0.001612842,0.03867357,0.2777245],"genre_scores_gemma":[0.2077102,0.005968005,0.3278104,0.001142052,0.0004604672,0.0004486645,0.006709254,0.008260531,0.4414904],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03175074,"threshold_uncertainty_score":0.1062168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791889253194192,"score_gpt":0.3067438848270252,"score_spread":0.2688249922950833,"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."}}