{"id":"W7002293628","doi":"","title":"Mobile Phone Data Analytics to Support Disaster and Disease Outbreak Response","year":2024,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Geospatial analysis; Analytics; Population; Mobile phone; Emergency management; Natural disaster; Data processing; Event (particle physics)","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":[0.002109608,0.0008699097,0.0005328389,0.005025237,0.0004272077,0.002944155,0.0007788526,0.0007189963,0.002402742],"category_scores_gemma":[0.008680346,0.0002304742,0.0007407212,0.004182695,0.0002874635,0.002980347,0.001045665,0.0008654259,0.001988975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006352396,"about_ca_system_score_gemma":0.0013521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003489056,"about_ca_topic_score_gemma":0.006222829,"domain_scores_codex":[0.9991047,0.0002724104,0.00009346933,0.0001727965,0.0002917169,0.00006485604],"domain_scores_gemma":[0.9962323,0.001829771,0.0003256752,0.0002625653,0.001255563,0.00009412762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002776803,0.0002204605,0.02643221,0.005532453,0.0005224636,0.0006144266,0.00160042,0.02719032,0.008248332,0.03478996,0.1064263,0.7881449],"study_design_scores_gemma":[0.00008526012,0.0004491117,0.02845291,0.004970856,0.0005713903,0.0006896089,0.006498554,0.2277538,0.01619919,0.1252538,0.5888823,0.0001931073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1178951,0.1087733,0.5504416,0.03542333,0.0034067,0.002393999,0.06559011,0.01486612,0.1012096],"genre_scores_gemma":[0.5805413,0.04641615,0.3198943,0.003079871,0.001455767,0.0009524593,0.03848404,0.0004799758,0.008696239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005025237,"threshold_uncertainty_score":0.0111568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04779233093614711,"score_gpt":0.3448665604778013,"score_spread":0.2970742295416542,"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."}}