{"id":"W7043723969","doi":"","title":"Study on Arbitrary Detention (EU Canada Policy Dialogues Support Facility)","year":2023,"lang":"en","type":"book","venue":"Open Access at Essex (University of Essex)","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Perspective (graphical); Legislation; Economic Justice","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":[0.003071432,0.0002715031,0.0004849877,0.001779704,0.01107168,0.003079476,0.002609187,0.003277026,0.01944293],"category_scores_gemma":[0.01157429,0.0004910474,0.000397343,0.002815339,0.002380597,0.00149153,0.003674811,0.00379528,0.002477344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02723675,"about_ca_system_score_gemma":0.04848092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9322566,"about_ca_topic_score_gemma":0.9604706,"domain_scores_codex":[0.9949313,0.001370587,0.00009990871,0.0002722789,0.0008725316,0.002453368],"domain_scores_gemma":[0.9936442,0.001903914,0.0003232858,0.0003619689,0.001799244,0.001967348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.003135577,0.006361553,0.2131032,0.0005326148,0.00008787728,0.004275072,0.1186094,0.00154867,0.001358795,0.1035675,0.3889378,0.158482],"study_design_scores_gemma":[0.0003606034,0.0009980279,0.6363906,0.0003340619,0.00006357413,0.0004417581,0.1165532,0.000646156,0.001108981,0.002532966,0.2404502,0.0001199948],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8305485,0.0008800238,0.0003814857,0.007287705,0.0002481679,0.001077627,0.00846315,0.0000587726,0.1510545],"genre_scores_gemma":[0.7645001,0.0005289949,0.000418058,0.005872583,0.00004960882,0.0008078653,0.002712895,0.00004927132,0.2250606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06774342,"threshold_uncertainty_score":0.1976174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1797619094550829,"score_gpt":0.3691671004404505,"score_spread":0.1894051909853675,"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."}}