{"id":"W2978906415","doi":"10.1163/2165025x-12340006","title":"Achieving Human Security after a Disaster: the Case of the Haiyan Widows","year":2019,"lang":"en","type":"article","venue":"Philippine Political Science Journal","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Human security; Government (linguistics); Economic growth; Focus group; Political science; Socioeconomics; Business; Sociology; Economics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003359913,0.0001040049,0.0001367664,0.00008134996,0.001765223,0.0003170866,0.0007209674,0.00004504933,0.001022848],"category_scores_gemma":[0.0009181747,0.00005773194,0.0001228093,0.0006935495,0.002178605,0.0006807812,0.0001726607,0.0003371959,0.00002159056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870158,"about_ca_system_score_gemma":0.0004119952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669256,"about_ca_topic_score_gemma":0.01146544,"domain_scores_codex":[0.9975773,0.0002701494,0.0003490012,0.0002008024,0.000822374,0.0007803548],"domain_scores_gemma":[0.998699,0.0001810468,0.0001817266,0.0002985834,0.000296842,0.0003428097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001745676,0.0001694323,0.08205901,0.0000283786,0.00001247037,0.00003561848,0.09643812,0.00001342835,0.007906563,0.8111465,0.0001199719,0.00205305],"study_design_scores_gemma":[0.00137606,0.0004081652,0.5769708,0.0004684172,0.0001734543,0.002459706,0.2191968,0.00266086,0.001726776,0.1808595,0.01279767,0.0009017555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691069,0.00003813638,0.00002637062,0.01951652,0.0005021123,0.0002701883,0.000008238304,0.000012749,0.01051885],"genre_scores_gemma":[0.9984652,0.000005900665,0.0000342608,0.0006101226,0.0005963823,0.000005542504,2.729918e-7,0.000005876047,0.0002764197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.630287,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06122825912674922,"score_gpt":0.3536497140803722,"score_spread":0.2924214549536229,"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."}}