{"id":"W2054009169","doi":"10.1186/1472-6947-12-35","title":"Leveraging H1N1 infection transmission modeling with proximity sensor microdata","year":2012,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Population; Data science; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002974005,0.0002292159,0.0004428292,0.0001039659,0.000335592,0.00006366758,0.0001429555,0.0001919061,0.00008693909],"category_scores_gemma":[0.003239137,0.0001370349,0.00007241558,0.0001859596,0.00007824031,0.0004954815,0.0002710568,0.0003586768,0.0000119801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006018592,"about_ca_system_score_gemma":0.0000649431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000188858,"about_ca_topic_score_gemma":0.00001569805,"domain_scores_codex":[0.9976514,0.00007210805,0.0008911438,0.0001644168,0.0007762334,0.0004447268],"domain_scores_gemma":[0.9949816,0.004133554,0.0002265571,0.0002684398,0.00008434385,0.0003055213],"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":[0.0004519621,0.0003340488,0.06748851,0.0022796,0.00009651019,0.000008366267,0.005553087,0.004119208,0.00001596864,0.007907635,0.001655957,0.9100891],"study_design_scores_gemma":[0.0006925973,0.00004946602,0.001013394,0.001180985,0.0000474608,0.0000710042,0.0004866061,0.9715843,0.000009507682,0.02301017,0.001593801,0.0002607222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4149275,0.0001276137,0.5843877,0.00003103055,0.00005519947,0.0001600736,9.604637e-7,0.0000671829,0.0002427557],"genre_scores_gemma":[0.511196,0.0001667037,0.4880049,0.0005175345,0.00008847536,0.000009641925,0.000002034463,0.00001108297,0.000003658256],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9674651,"threshold_uncertainty_score":0.558812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2760878872095688,"score_gpt":0.4300024076614102,"score_spread":0.1539145204518415,"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."}}