{"id":"W1564573591","doi":"10.18438/b8qk7s","title":"The Library of Congress, Dewey Decimal, and Universal Decimal Classification Systems are Incomplete and Unsystematic","year":2011,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Information Science and Libraries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Dewey Decimal Classification; Decimal; Subject (documents); Computer science; Library of Congress Classification; Selection (genetic algorithm); Library classification; Mathematics; Arithmetic; Algebra over a field; Artificial intelligence; Library science; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01812067,0.0006273788,0.0009467017,0.02545138,0.003981308,0.01384353,0.00197017,0.001260433,0.01617529],"category_scores_gemma":[0.0967645,0.0005011852,0.0009572802,0.04099702,0.007713981,0.01534845,0.005615484,0.001819149,0.00422565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021771,"about_ca_system_score_gemma":0.01539926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02893191,"about_ca_topic_score_gemma":0.02805379,"domain_scores_codex":[0.9684418,0.01015787,0.004384789,0.002335271,0.01289615,0.001784152],"domain_scores_gemma":[0.8796485,0.04250059,0.01700188,0.01255782,0.0459245,0.00236674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004207416,0.0001588043,0.1082176,0.001722698,0.0001559968,0.00009998666,0.01228939,0.001605651,0.0003971273,0.4116402,0.04286523,0.4204266],"study_design_scores_gemma":[0.00009095319,0.0003958156,0.2613733,0.004092798,0.0002868202,0.0003333311,0.07399198,0.00907717,0.002137545,0.2033331,0.444611,0.0002762386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.253913,0.0107657,0.06832063,0.01717632,0.001452122,0.001836544,0.02009246,0.0008402505,0.625603],"genre_scores_gemma":[0.9230246,0.00281959,0.04745101,0.001394265,0.0002522017,0.001370606,0.00987538,0.0001276119,0.01368485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02893191,"threshold_uncertainty_score":0.09583235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377087391068595,"score_gpt":0.2334244507413502,"score_spread":0.1957157116344908,"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."}}