{"id":"W3123808924","doi":"10.22329/wyaj.v34i1.5007","title":"DESIGNING ADMINISTRATIVE JUSTICE","year":2017,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Tribunal; Economic Justice; Indigenous; Context (archaeology); Perspective (graphical); Public administration; Government (linguistics); Relation (database); Political science; Administration of justice; Administrative law; Adaptation (eye); Sociology; Law; Geography; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03796011,0.001163427,0.0007861021,0.002964992,0.01113685,0.01552865,0.004273967,0.00361499,0.0129011],"category_scores_gemma":[0.05045044,0.00102081,0.00139271,0.002001974,0.02082578,0.01151939,0.01072571,0.003668929,0.002622399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01162495,"about_ca_system_score_gemma":0.02208399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006641912,"about_ca_topic_score_gemma":0.01237094,"domain_scores_codex":[0.9342239,0.05210096,0.002065418,0.003183147,0.005643547,0.002782962],"domain_scores_gemma":[0.9623209,0.02210774,0.001791903,0.007272351,0.004354862,0.00215222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004518412,0.0001851756,0.002665164,0.0008730336,0.00004729627,0.0003529352,0.07351743,0.004704438,0.001083975,0.793694,0.01464783,0.1081837],"study_design_scores_gemma":[0.00004358903,0.000162526,0.0007288203,0.001012973,0.00004187289,0.0004105936,0.0422334,0.003284386,0.001490482,0.2398969,0.7106265,0.00006804625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02090614,0.001860631,0.7463633,0.01728935,0.0009368754,0.001683256,0.0001683986,0.001231732,0.2095603],"genre_scores_gemma":[0.3577381,0.002015052,0.5957974,0.002832167,0.0001631799,0.002093914,0.0003781796,0.0006993685,0.03828258],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03796011,"threshold_uncertainty_score":0.2007546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2466356681062551,"score_gpt":0.5011033493798046,"score_spread":0.2544676812735495,"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."}}