{"id":"W2162799772","doi":"10.17159/1727-3781/2012/v15i3a2500","title":"Mixed and Mixing Systems Worldwide: A Preface","year":2017,"lang":"en","type":"article","venue":"Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; University of Cambridge","keywords":"Scholarship; Jurisdiction; Law; State (computer science); Political science; Thriving; International law; Sociology; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004716568,0.0007958158,0.001064528,0.0002812699,0.0120633,0.004454098,0.001878135,0.0005459195,0.0001524434],"category_scores_gemma":[0.0007470655,0.0007782315,0.0004601527,0.0002842864,0.001610429,0.002595494,0.0003940917,0.002410648,0.00006496409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829533,"about_ca_system_score_gemma":0.001297042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01194705,"about_ca_topic_score_gemma":0.02837802,"domain_scores_codex":[0.9920394,0.0008634533,0.001169864,0.001035975,0.00161409,0.003277263],"domain_scores_gemma":[0.9947667,0.000347118,0.001652554,0.001490826,0.0005781556,0.001164633],"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":[0.0005619698,0.0003687537,0.006652443,0.000130994,0.001365372,0.0002100285,0.008102125,0.0002035571,0.002558841,0.9031989,0.003028263,0.07361878],"study_design_scores_gemma":[0.003073531,0.0005643936,0.002561064,0.0003340319,0.0003889294,0.0005105421,0.007056199,0.0004679201,0.0006201586,0.01046729,0.9727201,0.001235793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7994156,0.03772938,0.003113495,0.02333059,0.004987646,0.002274271,0.0000355746,0.0009325104,0.1281809],"genre_scores_gemma":[0.9814436,0.007970814,0.0003673753,0.0001317991,0.002865549,0.0000901108,0.000008898883,0.0001409893,0.006980841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9696919,"threshold_uncertainty_score":0.9998908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539429521708089,"score_gpt":0.2957537107665136,"score_spread":0.2703594155494327,"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."}}