{"id":"W7096031366","doi":"","title":"NationalCore LibraryStatistics Program:","year":2007,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Purchasing power; Purchasing; National library; Library classification; Information system; Digital library","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":[],"consensus_categories":[],"category_scores_codex":[0.01823371,0.00118593,0.001572425,0.01232941,0.002197704,0.006956051,0.003815972,0.001460835,0.2509767],"category_scores_gemma":[0.09301148,0.001398059,0.0009669404,0.0293291,0.000898761,0.00378522,0.003588989,0.003253992,0.165281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01593941,"about_ca_system_score_gemma":0.07778582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2577868,"about_ca_topic_score_gemma":0.2504054,"domain_scores_codex":[0.9620203,0.004377611,0.003332495,0.003454715,0.02401575,0.002799147],"domain_scores_gemma":[0.836206,0.01254824,0.01003008,0.01562517,0.1191015,0.006489071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006979643,0.00002818342,0.003130213,0.0001799664,0.00001629555,0.0000102388,0.00004191783,0.00007126799,0.00002439951,0.001084654,0.9644713,0.03087175],"study_design_scores_gemma":[0.0001190541,0.00003860322,0.02333338,0.0002899425,0.00002722019,0.00004695308,0.0001235745,0.0006339156,0.0002513072,0.0008349594,0.9742638,0.00003733016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001958095,0.0007870094,0.006059873,0.00623983,0.00232527,0.003512399,0.8021979,0.008474001,0.1684456],"genre_scores_gemma":[0.01550379,0.002219792,0.01980814,0.003900407,0.001215696,0.008626998,0.7223577,0.005561887,0.2208056],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2577868,"threshold_uncertainty_score":0.8396006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368020243224208,"score_gpt":0.3756257201352753,"score_spread":0.3319455177030333,"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."}}