{"id":"W4414429367","doi":"10.29242/lawstats.2024","title":"ARL Academic Law Library Statistics 2024","year":2025,"lang":"en","type":"book","venue":"ARL academic law and medical library statistics","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law library; Academic library; Official statistics; Statistical analysis","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":[0.002123159,0.001004067,0.0006510278,0.00865559,0.001160102,0.004598159,0.001138298,0.0008737269,0.1342971],"category_scores_gemma":[0.01736473,0.0007169737,0.000493327,0.01974861,0.0004003051,0.002239965,0.001052778,0.002004006,0.2080711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005775576,"about_ca_system_score_gemma":0.01528335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1814016,"about_ca_topic_score_gemma":0.1904791,"domain_scores_codex":[0.9957618,0.0003109983,0.0002680525,0.0002080363,0.003187761,0.0002633496],"domain_scores_gemma":[0.9859096,0.002592698,0.0009914058,0.0008478828,0.009038099,0.0006202805],"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":[0.000002892328,0.000002474282,0.000118934,0.0000172936,7.722041e-7,0.000001986172,0.000005566693,0.00003182628,0.000005389818,0.0007543151,0.991497,0.007561579],"study_design_scores_gemma":[0.000003253451,0.000003203472,0.001685791,0.00007040417,0.000001578928,0.00001070912,0.00001910278,0.0001014277,0.00003304498,0.0005153454,0.9975486,0.000007382809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007174975,0.002987172,0.002232175,0.006162782,0.00246191,0.0001856226,0.6040061,0.005172223,0.3760745],"genre_scores_gemma":[0.004349405,0.00429876,0.004125405,0.002855451,0.001524235,0.0003819819,0.4139999,0.001893695,0.5665712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9913444,"threshold_uncertainty_score":0.4492685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329578763429567,"score_gpt":0.3472992829744113,"score_spread":0.3240034953401156,"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."}}