{"id":"W4414429426","doi":"10.29242/stats.2024","title":"ARL Statistics 2024","year":2025,"lang":"en","type":"book","venue":"ARL statistics","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Statistical analysis; Statistician; Summary statistics; Census","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004163411,0.001137241,0.001162737,0.008004826,0.001188391,0.00621277,0.002188489,0.001533714,0.1627253],"category_scores_gemma":[0.03340606,0.0007804646,0.000922076,0.01905977,0.0004474604,0.003049262,0.001279922,0.003653825,0.2526231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006255287,"about_ca_system_score_gemma":0.0147068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1339369,"about_ca_topic_score_gemma":0.08904756,"domain_scores_codex":[0.9920765,0.001101219,0.0007200738,0.0005206699,0.004966907,0.0006146375],"domain_scores_gemma":[0.9688913,0.005665869,0.001973743,0.001554444,0.02101252,0.000902208],"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":[0.00001029789,0.000004303615,0.0001658962,0.00004832368,0.000002126617,0.000004629719,0.000008155478,0.00006033357,0.000006750627,0.001251395,0.9894182,0.009019552],"study_design_scores_gemma":[0.000007350205,0.000005498543,0.001047616,0.000145596,0.000003226938,0.00001719887,0.00002056319,0.0001050171,0.00002926964,0.0006144927,0.997993,0.00001108367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00046338,0.003517234,0.003092549,0.007030752,0.003672752,0.0002643547,0.7510542,0.004352052,0.2265527],"genre_scores_gemma":[0.003722511,0.00643156,0.004180029,0.003811901,0.001757265,0.000859449,0.6560434,0.002671801,0.320522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9919952,"threshold_uncertainty_score":0.5443704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100635907076681,"score_gpt":0.2177397633484177,"score_spread":0.2067334042776509,"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."}}