{"id":"W3104767199","doi":"10.21564/2414-990x.149.201782","title":"Online courts and Online Dispute Resolution in terms of the international standard of access to justice: international experience","year":2020,"lang":"en","type":"article","venue":"Problems of Legality","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Online dispute resolution; Economic Justice; Tribunal; Dispute resolution; Law; Alternative dispute resolution; Civil procedure; Political science; Mediation; Sociology; International court; International law; Public international law","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":[],"consensus_categories":[],"category_scores_codex":[0.008299212,0.0002299812,0.0004379088,0.001925451,0.004883681,0.01520465,0.0013463,0.003750705,0.007962096],"category_scores_gemma":[0.01276053,0.0002005977,0.0002431211,0.004615902,0.0124354,0.01578564,0.005271886,0.005555999,0.0007521302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004736225,"about_ca_system_score_gemma":0.003105465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890844,"about_ca_topic_score_gemma":0.002415259,"domain_scores_codex":[0.9865749,0.007717571,0.0007181226,0.0008815227,0.003090547,0.001017362],"domain_scores_gemma":[0.9885211,0.008688495,0.0009854604,0.0006239071,0.0006522334,0.0005286771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001198938,0.00007814429,0.0007080509,0.0000748067,0.000002201118,0.000410091,0.03148019,0.0002626362,0.0001224345,0.9238003,0.004601125,0.03844787],"study_design_scores_gemma":[0.000008236607,0.00009583857,0.003980109,0.0009484495,0.000008256393,0.001377798,0.07434225,0.00141607,0.0005214155,0.2089685,0.7082806,0.00005248116],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1364363,0.05324587,0.01835962,0.03839363,0.001039216,0.00008873238,0.00007537963,0.00006066653,0.7523006],"genre_scores_gemma":[0.9465898,0.01567762,0.004023148,0.002912143,0.000546416,0.00005154958,0.00004950898,0.00004934418,0.03010049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01520465,"threshold_uncertainty_score":0.04389095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471304308111259,"score_gpt":0.4262330642763093,"score_spread":0.2791026334651834,"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."}}