{"id":"W4409553984","doi":"10.1051/e3sconf/202562501018","title":"Research Progress on Carbon Footprint Accounting and Evaluation of Automotive Seats Based on Life Cycle Assessment (LCA)","year":2025,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Carbon footprint; Life-cycle assessment; Automotive industry; Footprint; Ecological footprint; Environmental economics; Accounting; Engineering; Environmental science; Manufacturing engineering; Greenhouse gas; Business; Production (economics); Economics; Sustainable development; Geography; Political science","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":[0.006220048,0.002301191,0.001463056,0.009499719,0.000675035,0.003793928,0.001802188,0.001155623,0.002382646],"category_scores_gemma":[0.008483823,0.0004303757,0.001682622,0.01269539,0.00140574,0.004635193,0.001170518,0.001079703,0.0008017244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003553129,"about_ca_system_score_gemma":0.003525167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189881,"about_ca_topic_score_gemma":0.01731447,"domain_scores_codex":[0.9944871,0.001219664,0.0002475456,0.0008639737,0.002908543,0.0002732176],"domain_scores_gemma":[0.9882392,0.003985364,0.001159146,0.001459385,0.004991923,0.0001649606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001564858,0.0001977954,0.0271749,0.002908507,0.0004625488,0.00007208405,0.000247374,0.0694975,0.007148572,0.03111292,0.00184663,0.8591748],"study_design_scores_gemma":[0.00003470876,0.001273834,0.09128689,0.004494486,0.001317568,0.0006516094,0.003703883,0.4248565,0.1171759,0.102524,0.2518292,0.0008514302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2480802,0.1867891,0.4814892,0.002463493,0.0006983385,0.000391184,0.003541474,0.001043677,0.07550341],"genre_scores_gemma":[0.8252538,0.06000171,0.1070317,0.0002772992,0.0002426768,0.0001377511,0.001852837,0.0003081688,0.004894013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02189881,"threshold_uncertainty_score":0.04354268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364915348452535,"score_gpt":0.3915536544726305,"score_spread":0.3479045009881051,"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."}}