{"id":"W4282554229","doi":"10.20935/al5393","title":"Search and Rescue as an Instrument of Externalisation: A Report from the Central Mediterranean Sea, 2013 to 2017","year":2022,"lang":"en","type":"article","venue":"Academia Letters","topic":"Maritime Security and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Interdiction; Search and rescue; Euros; Mediterranean sea; European union; Geography; Computer science; Mediterranean climate; Operations research; Environmental resource management; Business; International trade; Engineering; Archaeology; Artificial intelligence; Economics; Humanities","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001296718,0.00006605151,0.0001036214,0.00004130141,0.0007439187,0.00003176548,0.0004235863,0.00008515239,0.001171908],"category_scores_gemma":[0.00008040939,0.00006240109,0.00003332662,0.0001045422,0.000299681,0.000181675,0.000155257,0.0006107766,0.000006350307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660135,"about_ca_system_score_gemma":0.0001285569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1562407,"about_ca_topic_score_gemma":0.005564523,"domain_scores_codex":[0.9981021,0.0004728942,0.0001995694,0.0002319498,0.0007468144,0.0002466681],"domain_scores_gemma":[0.9994643,0.00009376965,0.00005010666,0.0002045299,0.00001852543,0.000168736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001659892,0.0000636022,0.04417844,0.00001618611,0.00006457382,0.0002317263,0.5068836,0.0002110786,0.00395297,0.00373064,0.4230536,0.01744758],"study_design_scores_gemma":[0.0002732163,0.00006160045,0.05698601,0.00001904747,0.00002073429,0.00001957613,0.01072461,0.0000716904,0.0001881656,0.0004782726,0.9309909,0.0001661186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762193,0.0001399503,0.00001000594,0.1219014,0.0003573597,0.0002137293,0.00003201275,0.00001594418,0.001110304],"genre_scores_gemma":[0.9861253,0.00007155337,0.00009951586,0.01270863,0.0006334734,0.00002278495,0.00003043449,0.000006331892,0.0003019465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5079373,"threshold_uncertainty_score":0.9997411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660286777845996,"score_gpt":0.3153691794726538,"score_spread":0.2687663116941938,"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."}}