{"id":"W7098331069","doi":"","title":"Article Designing and Implementing e-Justice Systems: Some Lessons Learned from EU and Canadian Examples","year":2014,"lang":"en","type":"article","venue":"","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"European union; Work (physics); Government (linguistics); Process (computing); Key (lock)","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":[0.01789426,0.0005741092,0.0004282458,0.001944823,0.02739172,0.01339852,0.002906333,0.004605096,0.007675377],"category_scores_gemma":[0.02996671,0.0003955875,0.00056809,0.004704816,0.008794749,0.006800529,0.005572747,0.004517422,0.0007786431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05338993,"about_ca_system_score_gemma":0.1385295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9432719,"about_ca_topic_score_gemma":0.973742,"domain_scores_codex":[0.9805244,0.007028312,0.0007813139,0.0007765767,0.005701401,0.005187945],"domain_scores_gemma":[0.9651597,0.01352583,0.0005145865,0.001400565,0.01533485,0.004064502],"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":[0.0001500043,0.0004173878,0.01992542,0.001178149,0.00004599223,0.003906308,0.1442694,0.004017183,0.001481034,0.4411013,0.1521832,0.2313246],"study_design_scores_gemma":[0.00004065198,0.00007172822,0.01335541,0.001172361,0.00004809482,0.000731744,0.1918055,0.001825747,0.001594615,0.02029263,0.7689139,0.000147686],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1444882,0.006352993,0.0283107,0.194705,0.001546478,0.0007363204,0.0006193081,0.0004979837,0.6227431],"genre_scores_gemma":[0.8229445,0.008575003,0.0535544,0.01539347,0.0001497731,0.0002020039,0.0004167173,0.0004444554,0.0983196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05672807,"threshold_uncertainty_score":0.3873729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1318828790889682,"score_gpt":0.3940037861925257,"score_spread":0.2621209071035575,"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."}}