{"id":"W4410283336","doi":"10.18280/i2m.240203","title":"Integrating Machine Learning in IoT Solutions for Real-Time Weather Forecasting Systems","year":2025,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Internet of Things; Weather forecasting; Meteorology; Weather prediction; Real-time computing; Machine learning; Artificial intelligence; Computer security; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000574546,0.0001362753,0.0001674098,0.0002991843,0.0001272773,0.00005466635,0.0001065046,0.00009293312,0.000008254468],"category_scores_gemma":[0.0001009417,0.0001379743,0.00004953403,0.000253086,0.00001990703,0.0001060988,0.00003298603,0.0001780954,0.000004178803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729665,"about_ca_system_score_gemma":0.00001772583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007804786,"about_ca_topic_score_gemma":0.00007574341,"domain_scores_codex":[0.999074,0.00006285335,0.0003333108,0.0001670272,0.0000805481,0.0002823027],"domain_scores_gemma":[0.9996771,0.0001231821,0.0000511028,0.00009744913,0.00003026232,0.000020892],"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":[0.00009540466,0.00009237565,0.02195676,0.0005442549,0.0002881314,0.000007085407,0.0008365785,0.6164507,0.02447248,0.03206039,0.02365531,0.2795405],"study_design_scores_gemma":[0.00065101,0.00005289737,0.001520864,0.00009819187,0.0000237795,0.000001417627,0.0003585631,0.9929754,0.0003532424,0.0002575162,0.003589916,0.0001171608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1656497,0.0003756502,0.7904806,0.0005711119,0.001192537,0.001621455,0.00003862657,0.009674264,0.03039604],"genre_scores_gemma":[0.9918234,0.00008175321,0.007255708,0.00003841989,0.00003216538,0.000319385,0.00006415885,0.00001884827,0.000366213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8261737,"threshold_uncertainty_score":0.5626428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504472435528399,"score_gpt":0.2636376621243288,"score_spread":0.2385929377690448,"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."}}