{"id":"W4413564191","doi":"10.64628/aam.uqceh5c7n","title":"Disaster aid distribution after Beirut explosion reflects Lebanese societal divides","year":2020,"lang":"en","type":"preprint","venue":"","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Distribution (mathematics); Political science; Computer security; Business; Development economics; Computer science; Economics; Mathematics","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":[0.0007327896,0.0001592933,0.0001376219,0.001629475,0.001787409,0.00311101,0.0003117557,0.0005766999,0.009284214],"category_scores_gemma":[0.002210209,0.00009566737,0.0001050507,0.001951726,0.0009372168,0.001631212,0.001657271,0.0007408158,0.0007986923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003479044,"about_ca_system_score_gemma":0.001964624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131797,"about_ca_topic_score_gemma":0.0323546,"domain_scores_codex":[0.9995444,0.0001010702,0.0000157984,0.00003922882,0.00005200995,0.0002474632],"domain_scores_gemma":[0.9990596,0.0001883321,0.0002412481,0.00003664268,0.0003274425,0.000146691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009759084,0.0002558402,0.7536783,0.0001908229,0.00008166413,0.002243137,0.05923815,0.001081584,0.00249039,0.06303232,0.02005516,0.09667671],"study_design_scores_gemma":[0.00002565033,0.00009216519,0.8113316,0.0001682911,0.0000261399,0.0003066252,0.1365624,0.0008207467,0.0008869312,0.004526139,0.04522492,0.00002840636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677886,0.0004477194,0.0001335349,0.004318008,0.00007734801,0.000009434184,0.0004056325,0.000007761206,0.02681208],"genre_scores_gemma":[0.9958344,0.0001991384,0.00005545898,0.0001957856,0.0000404658,0.000005819991,0.00013803,0.000007488498,0.003523441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131797,"threshold_uncertainty_score":0.04238772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05686712167917511,"score_gpt":0.3464733888521839,"score_spread":0.2896062671730088,"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."}}