{"id":"W2904195858","doi":"10.5539/ep.v6n1p27","title":"Carbon Footprint of ADU Students: Reasons and Solutions","year":2017,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Greenhouse gas; Environmental science; Carbon fibers; Carbon dioxide; Ecological footprint; Electricity; Footprint; Life-cycle assessment; Consumption (sociology); Environmental engineering; Sustainable development; Environmental protection; Engineering; Geography; Mathematics; Economics; Ecology; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172749,0.0004254928,0.0003523995,0.001417194,0.001430645,0.002170518,0.0005587025,0.001103115,0.004012119],"category_scores_gemma":[0.002994427,0.0001167812,0.000462269,0.002042659,0.000716737,0.001193279,0.001084603,0.001045482,0.0003329656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644052,"about_ca_system_score_gemma":0.00227023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007865175,"about_ca_topic_score_gemma":0.01717633,"domain_scores_codex":[0.9984914,0.0004285988,0.00009464774,0.0001540729,0.0005095446,0.0003217193],"domain_scores_gemma":[0.9971281,0.0005786146,0.000578411,0.00007931667,0.001070359,0.0005652294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001871592,0.0004378291,0.8224809,0.000681866,0.0001194671,0.001201418,0.002004653,0.0007022048,0.001310274,0.006763194,0.007868079,0.1562429],"study_design_scores_gemma":[0.0000276249,0.0003878615,0.8566515,0.001480898,0.0001688542,0.002926036,0.06205808,0.004520629,0.004682982,0.01510617,0.05182998,0.0001594074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9066603,0.01072384,0.002806986,0.05432693,0.0004886127,0.00008114153,0.0009297078,0.00005750834,0.02392487],"genre_scores_gemma":[0.994355,0.001836007,0.001079908,0.001066521,0.0001097734,0.0000237403,0.0001650946,0.000006611691,0.001357495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007865175,"threshold_uncertainty_score":0.01563877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117824219281761,"score_gpt":0.2478662235755799,"score_spread":0.2360838016474038,"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."}}