{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974246,0.0001251513,0.0001308809,0.00001691569,0.000429026,0.00003596702,0.000157807,0.00006469202,0.0001597756],"category_scores_gemma":[0.00003200272,0.0001169514,0.00003246572,0.00001390551,0.0008650684,0.0001180599,0.0006548674,0.00008087914,0.00000963172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555105,"about_ca_system_score_gemma":0.000002371963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008750919,"about_ca_topic_score_gemma":0.0000591226,"domain_scores_codex":[0.9990851,0.00004252925,0.0001538398,0.0002488319,0.0002431071,0.0002265372],"domain_scores_gemma":[0.9993433,0.000008809247,0.0001220832,0.0004033599,7.411607e-7,0.0001216747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000197164,0.0001214271,0.9692281,0.000007863436,0.00001137061,0.000001396857,0.0003466693,0.00005120528,0.007702828,0.0002234654,0.00001488069,0.02227101],"study_design_scores_gemma":[0.0003652044,0.0001008569,0.994836,0.00000737238,0.00002778503,0.000003001491,0.0001915545,0.0001160895,0.0008231199,0.0007591884,0.002646392,0.0001233869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934515,0.0001706681,0.00006285943,0.0006351179,0.000036532,0.0002159753,0.000007949847,0.000009001212,0.00541035],"genre_scores_gemma":[0.9984056,0.0005375096,0.0001989017,0.00002082668,0.00001657201,0.00001095746,0.000002230695,0.000007473251,0.0007999126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02560788,"threshold_uncertainty_score":0.4769138,"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."}}