{"id":"W3130227814","doi":"10.1007/978-3-030-69480-7_23","title":"Modeling Carbon Dioxide Dispersion Indoors","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Carbon dioxide; Dispersion (optics); Computer science; Carbon dioxide sensor; Space (punctuation); Energy consumption; Process engineering; Simulation; Environmental science; Electrical engineering; Physics; Optics; Chemistry; Engineering","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":[0.0001610486,0.0009679663,0.0008117425,0.000411065,0.000521314,0.001072899,0.001132756,0.001647737,0.002472201],"category_scores_gemma":[0.0005485963,0.0005786298,0.0008074936,0.0005902728,0.0005560849,0.001158809,0.0006390538,0.0007361574,0.0004264039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142407,"about_ca_system_score_gemma":0.001003062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.056417,"about_ca_topic_score_gemma":0.0315714,"domain_scores_codex":[0.9998666,0.00002002124,0.000003932971,0.00004884731,0.00003233195,0.00002824371],"domain_scores_gemma":[0.9997799,0.0001254804,0.00001879311,0.00001708454,0.00003992604,0.00001886739],"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":[0.00001038361,0.0000232933,0.000442014,0.00001426884,0.00001120451,0.00002922955,0.00000845267,0.9931156,0.0008961703,0.002632453,0.0003585961,0.002458403],"study_design_scores_gemma":[0.000002692434,0.000005974655,0.0001707735,0.000001979461,0.000004601256,0.000006805393,0.000005847724,0.9981103,0.0003834869,0.0009562909,0.0003467588,0.000004480097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3312997,0.002610788,0.5519214,0.00123757,0.0007773165,0.0001156859,0.002419737,0.001364199,0.1082536],"genre_scores_gemma":[0.9497517,0.0009539713,0.01316069,0.0000971858,0.0001066758,0.00006418298,0.000616365,0.0001626465,0.03508657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.056417,"threshold_uncertainty_score":0.1121772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856057156082274,"score_gpt":0.1903078117888478,"score_spread":0.1817472402280251,"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."}}