{"id":"W4396705148","doi":"10.1111/tran.12686","title":"The geoeconomics of protecting profits from migrants in maritime distress","year":2024,"lang":"en","type":"article","venue":"Transactions of the Institute of British Geographers","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Distress; Business; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000505087,0.00007295185,0.0001535707,0.00008337809,0.0003235324,0.00006309545,0.0003291226,0.0000787716,0.00003281089],"category_scores_gemma":[0.00006162254,0.00007281751,0.0001783337,0.0006337352,0.0008423331,0.0003919217,0.00000831325,0.0001687375,8.728184e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005560426,"about_ca_system_score_gemma":0.0001472638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2180029,"about_ca_topic_score_gemma":0.6464837,"domain_scores_codex":[0.9989357,0.0001008645,0.0004120253,0.0001614115,0.0002268779,0.000163129],"domain_scores_gemma":[0.999385,0.0001770007,0.0001473665,0.0001737027,0.00008943002,0.00002747518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001643712,0.0005095221,0.02250533,0.0007922985,0.0006374687,0.00001136419,0.05013308,0.0199176,0.004063599,0.003642297,0.000372824,0.8972502],"study_design_scores_gemma":[0.00457471,0.0003338575,0.6717567,0.01601039,0.001127383,0.00003668622,0.1927979,0.01913767,0.01452844,0.03441488,0.04329005,0.001991341],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938114,0.001203071,0.001209431,0.000680982,0.000890902,0.0006576296,0.000525333,0.00003359933,0.0009876031],"genre_scores_gemma":[0.9983575,0.001010121,0.0003760641,0.000005030317,0.00002982977,0.00004574976,0.000009649156,0.000009440545,0.000156582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8952589,"threshold_uncertainty_score":0.7872044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03524434608756463,"score_gpt":0.269895618770519,"score_spread":0.2346512726829544,"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."}}