{"id":"W4393310317","doi":"10.1051/e3sconf/202450701049","title":"Driving sustainability: IoT sensor integration for efficient car AC control","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Sustainability; Internet of Things; Control (management); Computer science; Business; Automotive engineering; Embedded system; Engineering; Artificial intelligence","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":[0.0001139901,0.0003125354,0.0002200083,0.0002784918,0.0002010421,0.0005692868,0.0004248528,0.0003711846,0.001869736],"category_scores_gemma":[0.0001718541,0.000124597,0.0001909027,0.0002419701,0.00009247826,0.0005663945,0.0003810523,0.0003034897,0.000620046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662574,"about_ca_system_score_gemma":0.0002345948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005838931,"about_ca_topic_score_gemma":0.00115369,"domain_scores_codex":[0.999862,0.00001252761,0.000006876685,0.00002525521,0.00007477521,0.00001862527],"domain_scores_gemma":[0.9999284,0.000006032415,0.000007411347,0.000008960729,0.0000425151,0.000006679962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003186825,0.0003339127,0.005831174,0.0005265634,0.0001048171,0.000589678,0.0002629927,0.01882556,0.402841,0.01161682,0.01442096,0.5443278],"study_design_scores_gemma":[0.00005461041,0.0009807994,0.0109502,0.0001174913,0.000162861,0.0009771765,0.0003806679,0.4783225,0.3195107,0.009058062,0.1793949,0.00009002077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1944438,0.004717697,0.7109194,0.001076304,0.001072921,0.0003260504,0.00043857,0.007309972,0.07969525],"genre_scores_gemma":[0.944136,0.0008477521,0.0407371,0.0002145015,0.00008264236,0.00007467975,0.0003019955,0.00009289702,0.01351241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001869736,"threshold_uncertainty_score":0.006254911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419115532220182,"score_gpt":0.2691479664689814,"score_spread":0.2549568111467795,"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."}}