{"id":"W7082284802","doi":"10.5281/zenodo.17162668","title":"ENHANCING FAIRNESS, EFFICIENCY, AND ACCESSIBILITY IN CANADA ADMINISTRATIVE LEGAL SYSTEM","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Communication (Canada)","funders":"","keywords":"Blueprint; Dispute resolution; Online dispute resolution; Cornerstone; Administrative law; Administration of justice; Economic Justice; Tribunal; Interoperability; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01355999,0.0002555964,0.0003887732,0.003498941,0.01512693,0.01375283,0.002206493,0.001801923,0.006800056],"category_scores_gemma":[0.04104793,0.000305672,0.0004516655,0.003044169,0.009375289,0.003060635,0.006038546,0.002211431,0.0003777829],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1228506,"about_ca_system_score_gemma":0.2527199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670875,"about_ca_topic_score_gemma":0.979921,"domain_scores_codex":[0.9798536,0.004196685,0.000598309,0.001180064,0.009775556,0.004395834],"domain_scores_gemma":[0.9703333,0.008733397,0.001162019,0.001713367,0.01509599,0.002961927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006387905,0.000126108,0.01855507,0.0001828788,0.00004911673,0.0002423911,0.01139259,0.01249078,0.001367621,0.8026256,0.02578819,0.1271158],"study_design_scores_gemma":[0.0001877874,0.00019647,0.1031746,0.0008347669,0.0002628653,0.0002738264,0.01793689,0.06134187,0.00550072,0.242697,0.5671086,0.0004846322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3531829,0.002214973,0.05678941,0.05562881,0.0002871266,0.00083686,0.0007127607,0.0008034899,0.5295438],"genre_scores_gemma":[0.9572368,0.0004300622,0.01806052,0.00186906,0.00004192235,0.00008402204,0.0001026906,0.00004209381,0.02213281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8771495,"threshold_uncertainty_score":0.8913474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129168565803732,"score_gpt":0.241041534758097,"score_spread":0.2197498491000597,"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."}}