{"id":"W2966990349","doi":"10.1080/08865655.2019.1652672","title":"Blue vs Green: The Challenges of Maritime Migration Controls","year":2019,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Militarization; Enforcement; Irregular migration; Economic geography; Politics; Geography; Political science; Economy; Economics; Law; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00403212,0.0002845899,0.0003204009,0.001046918,0.004139226,0.00792613,0.001174536,0.001993939,0.003766716],"category_scores_gemma":[0.006275838,0.0002369502,0.0002764123,0.00108656,0.02550176,0.00481706,0.006097805,0.003584565,0.0002178026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003108765,"about_ca_system_score_gemma":0.002848021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725411,"about_ca_topic_score_gemma":0.01315146,"domain_scores_codex":[0.9968058,0.00138765,0.00007587637,0.0003570297,0.0005741948,0.0007994864],"domain_scores_gemma":[0.9975684,0.001108459,0.0003513524,0.0002926356,0.000218831,0.0004602448],"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":[0.00002506163,0.00001445434,0.001657816,0.00003350079,0.00000748341,0.0001127082,0.01706894,0.0003316708,0.0001906873,0.9622614,0.001983161,0.0163131],"study_design_scores_gemma":[0.00004498618,0.00008853369,0.01327832,0.0005621876,0.00002311174,0.0003297988,0.1382795,0.0009987091,0.000570503,0.6194014,0.2263804,0.00004260076],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3320543,0.007424355,0.01291553,0.1127482,0.0006723827,0.00004299826,0.00005234043,0.00006236457,0.5340275],"genre_scores_gemma":[0.9891533,0.0009868492,0.0006656829,0.002640971,0.0001047965,0.00002250291,0.000008126876,0.00002316406,0.006394674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01725411,"threshold_uncertainty_score":0.03430736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511235520574648,"score_gpt":0.3107459611972879,"score_spread":0.2856336059915414,"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."}}