{"id":"W2557382113","doi":"10.1145/3001913.3001917","title":"Preventive Detection of Mosquito Populations using Embedded Machine Learning on Low Power IoT Platforms","year":2016,"lang":"en","type":"article","venue":"","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Embedded system; Upload; Network packet; Computer hardware; Real-time computing; Operating system; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000183492,0.0005614174,0.0003619146,0.0004346326,0.0001988048,0.0004071974,0.0005811932,0.0002505467,0.002409025],"category_scores_gemma":[0.00102131,0.0002001256,0.0001967217,0.0002915193,0.0001516767,0.0006600432,0.000370709,0.0002862312,0.0009813117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711481,"about_ca_system_score_gemma":0.0002428554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359973,"about_ca_topic_score_gemma":0.002908334,"domain_scores_codex":[0.999781,0.00002787883,0.00001022535,0.00006479358,0.00008027352,0.00003582373],"domain_scores_gemma":[0.9996058,0.000130702,0.00006854423,0.00006216781,0.0001048447,0.00002789221],"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":[0.0007112803,0.0005150176,0.04598971,0.0004375348,0.0001186279,0.000574986,0.0001817303,0.1279417,0.1909316,0.002200255,0.009121069,0.6212764],"study_design_scores_gemma":[0.00002949565,0.0003611425,0.02036704,0.00004526625,0.00003911666,0.0002328411,0.00008134168,0.9198694,0.05282651,0.002235414,0.00387917,0.00003333935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6901829,0.0005215626,0.2884669,0.0004668935,0.0002024532,0.0001491945,0.0008503532,0.006506232,0.01265354],"genre_scores_gemma":[0.9404765,0.0001333908,0.0564376,0.0001680654,0.0000290709,0.00006123987,0.0003474843,0.00007844226,0.002268304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002409025,"threshold_uncertainty_score":0.008058965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036023693329878,"score_gpt":0.2912224074489382,"score_spread":0.2708621705156394,"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."}}