{"id":"W2044704951","doi":"10.1108/pmm-07-2012-0026","title":"A comparison of academic libraries: an analysis using a self‐organizing map","year":2013,"lang":"en","type":"article","venue":"Performance Measurement and Metrics","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Service (business); Self-organizing map; Originality; Metric (unit); Identification (biology); Resource (disambiguation); Library catalog; Library classification; Academic library; Measure (data warehouse); Information retrieval; Data science; World Wide Web; Knowledge management; Library science; Cluster analysis; Data mining; Sociology; Marketing; Business; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003867366,0.0003495849,0.0007391921,0.0160688,0.001595571,0.004228342,0.0007051884,0.0002702345,0.002603532],"category_scores_gemma":[0.02165941,0.0001734803,0.00096207,0.02131197,0.0008836775,0.001668014,0.001767666,0.0003707224,0.0003396414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00341513,"about_ca_system_score_gemma":0.003995114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04557865,"about_ca_topic_score_gemma":0.03758138,"domain_scores_codex":[0.9955971,0.001181796,0.0003867707,0.0003576083,0.002180732,0.0002960772],"domain_scores_gemma":[0.9848075,0.006703108,0.001836121,0.0008214891,0.005222865,0.0006090112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007742142,0.0003310054,0.7781965,0.0007791005,0.0008625682,0.0002785906,0.01444576,0.005211046,0.002560262,0.004243081,0.002619628,0.1896983],"study_design_scores_gemma":[0.00002505344,0.0003910163,0.9293239,0.0001126197,0.00015725,0.0001781128,0.03776835,0.02108773,0.002181548,0.002153254,0.006536368,0.00008480379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701959,0.0002666984,0.01710933,0.0001911835,0.00002485541,0.0005780795,0.001675637,0.0004054045,0.009552978],"genre_scores_gemma":[0.9875474,0.00009700288,0.0106165,0.00001658653,0.00001069506,0.0003005979,0.0007564682,0.00003554854,0.0006192898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9957716,"threshold_uncertainty_score":0.09062672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.197457393535194,"score_gpt":0.3221897043522506,"score_spread":0.1247323108170566,"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."}}