{"id":"W4388734056","doi":"10.29242/lawstats.2022","title":"ARL Academic Law Library Statistics 2022","year":2023,"lang":"en","type":"report","venue":"","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law library; Library science; Academic library; Political science; Law; Computer science; Statistics; Mathematics","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":[0.003393876,0.001203326,0.0009534167,0.01092675,0.001472919,0.005880508,0.00144854,0.001042693,0.09612339],"category_scores_gemma":[0.02410722,0.0009151938,0.0005594176,0.02886621,0.0003345346,0.002161601,0.001142083,0.002250072,0.1845729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007081829,"about_ca_system_score_gemma":0.01971046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2808509,"about_ca_topic_score_gemma":0.2656616,"domain_scores_codex":[0.9921868,0.0005831154,0.0005880398,0.0004144011,0.005666547,0.0005610537],"domain_scores_gemma":[0.9707285,0.004358295,0.002246972,0.002127745,0.01930401,0.001234456],"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":[0.000008258391,0.000006746283,0.0002758383,0.00002429909,0.00000181175,0.000003187728,0.000007772881,0.00004230141,0.000008464915,0.0005001046,0.9943703,0.004750885],"study_design_scores_gemma":[0.00001027908,0.000006871968,0.006323908,0.000100252,0.000003921164,0.00001437013,0.00004167862,0.0001847201,0.00009509412,0.0003394226,0.9928631,0.00001645681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005401662,0.0006256233,0.000590431,0.001626711,0.0005570352,0.000121015,0.9152514,0.002267554,0.07841987],"genre_scores_gemma":[0.004069152,0.001623651,0.002212374,0.001094125,0.0005253357,0.0004272205,0.8333401,0.001250023,0.1554581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9890733,"threshold_uncertainty_score":0.5584323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2879908352415222,"score_gpt":0.5210549830829864,"score_spread":0.2330641478414642,"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."}}