{"id":"W4412129641","doi":"10.1109/gpecom65896.2025.11061887","title":"Smart Grid Enabled Indoor Farming: A New Recipe for Energy Management Using Lighting Control","year":2025,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of New Brunswick","funders":"","keywords":"Recipe; Smart lighting; Computer science; Control (management); Energy management; Smart grid; Grid; Energy (signal processing); Architectural engineering; Embedded system; Electrical engineering; Engineering; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002836126,0.0002510057,0.0003639955,0.0003344507,0.0001235521,0.00009141205,0.0001985185,0.0001107117,0.00003852952],"category_scores_gemma":[0.00002671144,0.0002469793,0.0001340619,0.0003753282,0.000009491101,0.0001093925,0.00004327186,0.00008756246,0.00001165715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420524,"about_ca_system_score_gemma":0.00005114744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002976881,"about_ca_topic_score_gemma":0.000117814,"domain_scores_codex":[0.9985611,0.00002982977,0.0004644099,0.0002863876,0.0001452258,0.0005130772],"domain_scores_gemma":[0.9993484,0.0001362925,0.00004745784,0.0003209709,0.0000495453,0.00009732664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005822014,0.0002397979,0.005444009,0.005941452,0.005358209,0.0001477605,0.001003562,0.2271925,0.1471767,0.1437543,0.3389446,0.1242148],"study_design_scores_gemma":[0.00434703,0.00004039972,0.00010204,0.0003784458,0.0001716156,0.000004814103,0.000216493,0.3947576,0.03453517,0.0003458332,0.5645753,0.0005252222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01293582,0.0004691146,0.9291944,0.0001935528,0.003763255,0.0009026332,0.000008687001,0.0007540751,0.05177848],"genre_scores_gemma":[0.9599755,0.00001383109,0.01613496,0.0004977265,0.0008038243,0.0001989221,0.00001610151,0.00009344055,0.02226571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9470397,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008634372737353213,"score_gpt":0.2166142462389324,"score_spread":0.2079798735015791,"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."}}