{"id":"W4220723871","doi":"10.1109/icais53314.2022.9742829","title":"Disaster Relief Compensation Computational Framework","year":2022,"lang":"en","type":"article","venue":"2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Damages; Tamil; Disaster area; Revenue; Computer science; Python (programming language); Decision tree; Business; Artificial intelligence; Geography; Finance; Political science; Meteorology","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":[0.0002715862,0.0004933771,0.0005523015,0.0004382945,0.0004668864,0.00110279,0.001706989,0.0009174271,0.0118315],"category_scores_gemma":[0.0006964924,0.0001909801,0.000711288,0.0004447959,0.0003552799,0.0008141761,0.001000194,0.0007447454,0.00118811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540801,"about_ca_system_score_gemma":0.001362301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009981421,"about_ca_topic_score_gemma":0.00931266,"domain_scores_codex":[0.9997873,0.00003199076,0.0000105956,0.00006133641,0.00005195927,0.00005678753],"domain_scores_gemma":[0.999858,0.00003637062,0.00001113672,0.00001686608,0.00005849588,0.00001911265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008353675,0.00008409684,0.002105525,0.0001092319,0.00004075171,0.0002663978,0.00005705241,0.8624918,0.001224742,0.05278685,0.01458586,0.06616407],"study_design_scores_gemma":[0.000006669058,0.00001486381,0.0002342402,0.000008269343,0.000006788205,0.00004980336,0.00002341699,0.9843949,0.0002994432,0.01051082,0.004444998,0.000005698976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02458408,0.0007270214,0.9383287,0.001512407,0.0003241103,0.0001924895,0.001855617,0.001362414,0.03111317],"genre_scores_gemma":[0.6860649,0.001110324,0.2734008,0.0005693921,0.0003575801,0.0006105697,0.002904985,0.0001905436,0.03479104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118315,"threshold_uncertainty_score":0.03958029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502191163727291,"score_gpt":0.2622193650453423,"score_spread":0.2071974534080694,"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."}}