{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009871109,0.0004154881,0.0004190501,0.0003651047,0.0002122344,0.001029426,0.001154542,0.0002222862,0.0004601114],"category_scores_gemma":[0.0002144743,0.0004216022,0.00006327577,0.0003771391,0.00009727621,0.0004178466,0.0006912663,0.0004015756,0.0007287255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952031,"about_ca_system_score_gemma":0.002357913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007708895,"about_ca_topic_score_gemma":0.00001989679,"domain_scores_codex":[0.9977537,0.00003717704,0.0005392116,0.000621409,0.0006393297,0.0004091927],"domain_scores_gemma":[0.9978734,0.0008853764,0.0002436122,0.0006071127,0.0002029224,0.0001876299],"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":[0.000002653472,0.00001269019,0.00001595318,0.00006527915,0.0000442327,0.00007011362,0.00006851993,0.000003639672,5.611009e-8,0.3929442,0.5705972,0.03617542],"study_design_scores_gemma":[0.0001363399,0.00004987291,0.0000614112,0.00007090956,0.00002037388,0.000004423874,0.000002774142,0.002531908,0.000003940087,0.2974509,0.6993227,0.000344469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.595195e-7,0.0001499399,0.4927302,0.00008504725,0.001219944,0.0001387843,0.001262034,0.0001338685,0.50428],"genre_scores_gemma":[0.000004576368,0.0001671625,0.2285944,0.0006214845,0.0001405817,0.00001351357,0.0004585829,0.00002420749,0.7699754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2656954,"threshold_uncertainty_score":0.9998236,"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."}}