{"id":"W2765907066","doi":"10.1016/b978-0-12-805410-9.00002-5","title":"Qualified Freedom on Borrowed Territories","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"European Law and Migration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006991176,0.000525363,0.0004393147,0.0008066177,0.003270525,0.006854845,0.0007105332,0.00229786,0.03382633],"category_scores_gemma":[0.001034418,0.0002372513,0.0002682861,0.001560532,0.007944515,0.003756663,0.003303435,0.003301167,0.003981939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122977,"about_ca_system_score_gemma":0.002343524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006831418,"about_ca_topic_score_gemma":0.01284056,"domain_scores_codex":[0.9994305,0.0001907174,0.00002268239,0.00008950372,0.0001436607,0.0001229681],"domain_scores_gemma":[0.9998158,0.00007101759,0.00001392896,0.00003964552,0.00003064597,0.00002906917],"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":[0.000002834553,0.000005815682,0.00002477568,0.00001087355,9.933918e-7,0.00001819769,0.0006414279,0.00004129203,0.00002810871,0.9843933,0.008151292,0.006681134],"study_design_scores_gemma":[0.000007505289,0.000008824285,0.000263984,0.0001732913,0.000002904988,0.00005147,0.0007695947,0.0001084375,0.00005867653,0.5429265,0.4556226,0.000006240335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003057836,0.002913367,0.001268702,0.001337991,0.0002143372,0.00001080348,0.00002587273,0.000008521271,0.9911624],"genre_scores_gemma":[0.1330411,0.005277629,0.0008403047,0.001074937,0.0005403802,0.00006404493,0.00008304534,0.00006600614,0.8590127],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03382633,"threshold_uncertainty_score":0.1131603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557502354435531,"score_gpt":0.3002483335652782,"score_spread":0.2646733100209229,"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."}}