{"id":"W4416863423","doi":"10.1080/10447318.2025.2591770","title":"A Human-Machine Collaborative Industrial Environmental Monitoring System Based on IoT and Deep Learning","year":2025,"lang":"en","type":"article","venue":"International Journal of Human-Computer Interaction","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Internet of Things; Environmental monitoring; Wireless sensor 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":[0.0004207366,0.0001560207,0.0001861373,0.0002285293,0.0002529124,0.0001530958,0.000240866,0.00007512924,0.0000862828],"category_scores_gemma":[0.00003354662,0.0001472348,0.00008103755,0.00008684301,0.0000639947,0.0002647329,0.0001250265,0.0005585249,0.00001369071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008795343,"about_ca_system_score_gemma":0.000009502927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005014446,"about_ca_topic_score_gemma":0.000003068596,"domain_scores_codex":[0.9984937,0.0001654402,0.0005052015,0.0002052583,0.0005007944,0.0001296421],"domain_scores_gemma":[0.9991913,0.0001540022,0.0004804978,0.0000750887,0.00003875027,0.00006029781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007470729,0.0006938115,0.3834339,0.00003448737,0.0005313646,0.0002417695,0.00308577,0.230001,0.03384169,0.0003637224,0.0006420663,0.3463834],"study_design_scores_gemma":[0.01442462,0.00568307,0.3771122,0.006781226,0.0003256609,0.0005363275,0.01113707,0.5144889,0.0455472,0.0003439537,0.02204892,0.001570909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878198,0.00003080699,0.006831297,0.0001553498,0.003453676,0.00008888686,0.000002967012,0.00002846466,0.001588774],"genre_scores_gemma":[0.9977739,0.000002915579,0.0008658729,0.00003904526,0.001146958,0.000003381102,0.000004512285,0.00001084678,0.0001524942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3448125,"threshold_uncertainty_score":0.6004061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103358688997865,"score_gpt":0.3029168083449103,"score_spread":0.2818832214549317,"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."}}