{"id":"W2972696813","doi":"10.69554/fcek2769","title":"Identifying the victims of the Indian Ocean tsunami: The role of the private sector","year":2007,"lang":"en","type":"article","venue":"","topic":"Maritime Security and History","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Indian ocean; Business; Oceanography; Geology; Economic growth; Economics","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":[0.004799328,0.0001771741,0.0001677113,0.002038373,0.002622007,0.004177437,0.0006523193,0.0009491705,0.007685814],"category_scores_gemma":[0.0126692,0.0002179813,0.0001227681,0.001349954,0.00242516,0.003428084,0.002657128,0.001320597,0.0008281131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00242593,"about_ca_system_score_gemma":0.006064775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0302559,"about_ca_topic_score_gemma":0.03442639,"domain_scores_codex":[0.9974087,0.001234044,0.00006967883,0.000144379,0.0004008164,0.0007424187],"domain_scores_gemma":[0.9876699,0.003458151,0.002041423,0.0007430624,0.002780301,0.003307235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002788527,0.0004082906,0.5755505,0.0001679076,0.00003845963,0.001271052,0.0268562,0.0003469352,0.0009966452,0.02094097,0.02417021,0.348974],"study_design_scores_gemma":[0.00004852977,0.0002873521,0.5896643,0.001076463,0.00008603661,0.002881945,0.2866681,0.003330123,0.000999798,0.021562,0.09330454,0.00009080009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831933,0.004962707,0.001284671,0.1077778,0.0001584416,0.00006754999,0.0002021409,0.00003369085,0.05357997],"genre_scores_gemma":[0.9912506,0.002974288,0.0003351658,0.001320191,0.00009226324,0.00001119469,0.00005621793,0.000007850172,0.003952138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0302559,"threshold_uncertainty_score":0.06015956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140183923908126,"score_gpt":0.2495427139038626,"score_spread":0.2381408746647813,"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."}}