{"id":"W4417071687","doi":"10.1214/25-aoas2091","title":"Tomographic reconstruction of disease transmission landscapes from GPS-recorded random paths","year":2025,"lang":"","type":"article","venue":"The Annals of Applied Statistics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Pattern recognition (psychology); Tomography; Transmission (telecommunications); Tomographic reconstruction; Iterative reconstruction","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000787686,0.0004314998,0.001234449,0.0002950153,0.0001661972,0.00002825359,0.0004736113,0.0001483394,0.0008083814],"category_scores_gemma":[0.0003723277,0.0003371743,0.0002951306,0.0007485032,0.0006636173,0.00006323919,0.00009944965,0.0003462351,0.00001693079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466269,"about_ca_system_score_gemma":0.0005314408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001422273,"about_ca_topic_score_gemma":0.00003084203,"domain_scores_codex":[0.9966587,0.0002686961,0.001446411,0.000552804,0.0006299202,0.0004434697],"domain_scores_gemma":[0.9955333,0.001634545,0.0008118996,0.001134345,0.0005348513,0.0003510659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.05935922,0.001239758,0.005592129,0.003007104,0.002305258,0.00003297815,0.001134515,0.000455253,0.006644725,0.01340925,0.02085309,0.8859667],"study_design_scores_gemma":[0.0454277,0.001240638,0.3703417,0.009881494,0.01087522,0.000004571631,0.003165475,0.04925058,0.0358162,0.4467264,0.02514043,0.002129549],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6960374,0.01882629,0.1824131,0.00285071,0.001743351,0.004336184,0.08572805,0.0001664297,0.007898517],"genre_scores_gemma":[0.9832,0.01053812,0.004143244,0.000306547,0.0001383233,0.0000452859,0.001476217,0.00003950713,0.0001128036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8838372,"threshold_uncertainty_score":0.999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081823664402697,"score_gpt":0.2968701473228377,"score_spread":0.2760519106788107,"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."}}