{"id":"W4402980632","doi":"10.1109/otcon60325.2024.10688118","title":"Contemporary Uses of WSNs in Environmental and Industrial Monitoring","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Wireless sensor network; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000008268019,0.00004802201,0.00006626966,0.00004073163,0.000002467743,0.000004524893,0.00003071251,0.0000632144,0.000009513044],"category_scores_gemma":[0.000008419895,0.00004385192,0.000008432482,0.00004098655,0.00003428547,0.00007027136,0.00002371611,0.0001122464,0.000002338377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002755129,"about_ca_system_score_gemma":6.629738e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004756439,"about_ca_topic_score_gemma":1.720893e-7,"domain_scores_codex":[0.999755,0.000001361546,0.00008707304,0.00006165536,0.00003460496,0.00006036594],"domain_scores_gemma":[0.9998996,0.00004139191,0.000003081082,0.00004509193,3.431429e-7,0.00001052434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002225628,0.00000475477,0.0257639,0.00002700157,0.000009736381,0.00001570371,0.00004226727,0.0004149932,0.9622596,0.00007073733,0.0001332751,0.01125583],"study_design_scores_gemma":[0.0001053736,0.000008342344,0.0007222944,0.00004187165,0.000001135087,0.000002030924,0.0002702219,0.0007881828,0.9967517,0.0002279966,0.001021993,0.00005885702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996161,0.001784737,0.0000523173,0.0000140803,0.00008642399,0.00003599174,0.000004140908,0.0002912528,0.001570072],"genre_scores_gemma":[0.9994742,0.0001315686,0.0003301267,5.071207e-7,0.0000236306,0.000002507806,5.632991e-7,0.00000849545,0.00002842939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03449213,"threshold_uncertainty_score":0.1788229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368782618860777,"score_gpt":0.2246955993409512,"score_spread":0.1910077731523435,"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."}}