{"id":"W4414240183","doi":"10.22329/cjpp.v10i1.8451","title":"The State of Court Administration in Ontario: A Preliminary Analysis of the Post-COVID Environment in the Ontario Court of Justice","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Practical Philosophy","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Administration (probate law); Economic Justice; State (computer science); Administration of justice; Federal court; Quality (philosophy); Court decision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003532378,0.00007249433,0.0001934759,0.0003611574,0.0002602553,0.00005515073,0.0003981867,0.0000563679,0.0002565371],"category_scores_gemma":[0.003198599,0.00004618417,0.0001212415,0.001382462,0.0004382055,0.0004209568,0.00001380538,0.0007667083,0.000003252664],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514963,"about_ca_system_score_gemma":0.01410715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7327038,"about_ca_topic_score_gemma":0.9918758,"domain_scores_codex":[0.9978279,0.0006261393,0.0007057253,0.00008730474,0.0005639856,0.0001889194],"domain_scores_gemma":[0.9965248,0.002015445,0.0008278734,0.0002232033,0.000265884,0.000142838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001295025,0.00122199,0.2321556,0.00006873584,0.001202221,0.0002360219,0.5191718,0.008260339,0.0002001523,0.2266741,0.007795685,0.001718333],"study_design_scores_gemma":[0.0003412059,0.0004229954,0.8542817,0.00005208753,0.0009179306,0.00001468584,0.02057255,0.00008832404,0.0000283743,0.02359578,0.09957159,0.0001127611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6582128,0.00003400152,0.00001471676,0.3321937,0.000303987,0.0002451468,0.00002318732,9.972732e-7,0.008971442],"genre_scores_gemma":[0.9988754,0.00002952292,0.00007694309,0.0007125544,0.00004238479,0.000004540784,0.00000470946,0.000003777349,0.0002501122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6221262,"threshold_uncertainty_score":0.991482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664099398318384,"score_gpt":0.3497512421572769,"score_spread":0.2833413023254385,"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."}}