{"id":"W2789004301","doi":"10.22329/wyaj.v34i2.5020","title":"REDUCING THE “JUSTICE GAP” THROUGH ACCESS TO LEGAL INFORMATION: ESTABLISHING ACCESS TO JUSTICE ENTRY POINTS AT PUBLIC LIBRARIES","year":2018,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Economic Justice; Public access; Context (archaeology); Political science; Intermediary; Public relations; Information access; Scope (computer science); Law; Business; Public administration; Sociology; Internet privacy; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001905882,0.00035444,0.0003771254,0.0005611494,0.002957202,0.01197747,0.004489425,0.0002251227,0.003285062],"category_scores_gemma":[0.02185348,0.0003235105,0.00009008284,0.004681468,0.000452312,0.04828273,0.002149041,0.000652969,0.001086086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792592,"about_ca_system_score_gemma":0.002321795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007972751,"about_ca_topic_score_gemma":0.003106802,"domain_scores_codex":[0.995663,0.0004157822,0.001004728,0.0005754108,0.001389123,0.0009519283],"domain_scores_gemma":[0.9935787,0.002198695,0.0006817639,0.0009403422,0.00200709,0.0005934315],"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":[0.0003857499,0.0002120381,0.001504335,0.000557522,0.0001017297,0.000004160599,0.1135736,0.0006469431,0.0001136837,0.124727,0.7535109,0.004662338],"study_design_scores_gemma":[0.000301164,0.00009123245,0.007573616,0.0002049556,0.00063676,0.000006527639,0.02432282,0.0000624716,0.001296882,0.000473024,0.9645166,0.0005138831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07697266,0.00006034657,0.005082103,0.3407913,0.006731884,0.001902431,0.00007830185,0.0002349175,0.568146],"genre_scores_gemma":[0.8839276,0.00006272068,0.006283748,0.09628398,0.00628426,0.0002538491,0.0000469542,0.00006860602,0.00678833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8069549,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309670411987433,"score_gpt":0.4069469588281464,"score_spread":0.2759799176294031,"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."}}