{"id":"W4387581105","doi":"10.33260/zictjournal.v7i2.266","title":"Locust Infestations and Mobile Phones: Exploring the Potential of Digital Tools to Enhance Early Warning Systems and Response Mechanisms","year":2023,"lang":"en","type":"article","venue":"Zambia ICT Journal","topic":"Insects and Parasite Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Locust; Mobile phone; Population; Business; Migratory locust; Geography; Dissemination; Agriculture; Socioeconomics; Environmental health; Medicine; Computer science; Ecology; Biology; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000401337,0.00007591367,0.0000892704,0.00006787525,0.0003960857,0.0003657057,0.00009229704,0.0000200761,0.00009169219],"category_scores_gemma":[0.00008938411,0.00005718404,0.00002843772,0.0002191841,0.00005482216,0.0008216269,0.00009394056,0.0001648977,0.0001063143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003852763,"about_ca_system_score_gemma":0.00001063587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770567,"about_ca_topic_score_gemma":0.00001364622,"domain_scores_codex":[0.9992257,0.00007301749,0.0002059857,0.0001152328,0.0002083796,0.0001717373],"domain_scores_gemma":[0.9994898,0.0002150984,0.00008929479,0.00009335352,0.00001748618,0.00009491106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005692834,0.00008304836,0.01621578,0.0000234606,0.00008077647,0.000173576,0.04333841,0.05319587,0.8368464,0.0001464851,0.001366721,0.04796023],"study_design_scores_gemma":[0.0006319018,0.00144331,0.9381271,0.0003720645,0.00007182565,0.001978233,0.02401315,0.006837913,0.013194,0.0007114347,0.01204166,0.0005774158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945887,0.00001629204,0.004495724,0.0001552185,0.000391394,0.0001404575,0.00001869582,0.00001691883,0.0001766236],"genre_scores_gemma":[0.9991646,0.00005522753,0.0001154866,0.00001721783,0.00004821102,0.00002814319,0.000001105373,0.000009599578,0.0005604526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9219113,"threshold_uncertainty_score":0.3526509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215433264595898,"score_gpt":0.2745530028843976,"score_spread":0.2523986702384386,"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."}}