{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199245,0.000490576,0.0004520038,0.0005481654,0.0004071108,0.0009276359,0.001029499,0.0008656572,0.0008357764],"category_scores_gemma":[0.006817804,0.0003724365,0.0006271444,0.0005031464,0.0006347132,0.001243854,0.0009281262,0.0008927521,0.0001230771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009823636,"about_ca_system_score_gemma":0.0007653167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993985,"about_ca_topic_score_gemma":0.01385088,"domain_scores_codex":[0.999579,0.0002060975,0.00002193314,0.00009327804,0.00006342147,0.00003634383],"domain_scores_gemma":[0.9964809,0.002477199,0.0004714225,0.0002764224,0.0001796694,0.0001144235],"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":[0.00001087791,0.00001557282,0.004113169,0.000008149155,0.00001800014,0.00002739989,0.00003481437,0.9925964,0.0001484199,0.001768024,0.00007295753,0.001186258],"study_design_scores_gemma":[0.000001471394,0.000007154257,0.0003904883,0.00000171402,0.000002506463,0.000005681433,0.00001012737,0.9983289,0.00006034071,0.001124164,0.00006502186,0.00000240676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7240354,0.0002811068,0.2699417,0.0007530344,0.00006495771,0.0001248933,0.0006894408,0.0002596265,0.003849859],"genre_scores_gemma":[0.9879797,0.00009371305,0.01118649,0.00003350466,0.00001870954,0.00003760253,0.0001741256,0.00001465733,0.0004616032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993985,"threshold_uncertainty_score":0.03964758,"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."}}