{"id":"W4322748115","doi":"10.1007/978-981-19-9634-4_2","title":"LCA Studies on Regenerative Agriculture and Regenerative Textiles: Two Routes of Regenerative Cotton","year":2023,"lang":"en","type":"book-chapter","venue":"Textile science and clothing technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Textile; Textile industry; Clothing; Greenhouse; Waste management; Greenhouse gas; Agriculture; Environmental science; Reuse; Pulp and paper industry; Engineering; Materials science; Horticulture; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009380647,0.0005773646,0.0007554677,0.0003424848,0.0007993462,0.00006456212,0.0005613652,0.0004397401,0.0001013104],"category_scores_gemma":[0.0005897192,0.0004297475,0.00007340904,0.0005050722,0.01023206,0.0003798616,0.001286762,0.0006811749,0.00006005502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510115,"about_ca_system_score_gemma":0.00007891254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007548888,"about_ca_topic_score_gemma":0.0002938772,"domain_scores_codex":[0.9968063,0.00004974198,0.0005193014,0.001307886,0.0007828341,0.0005339417],"domain_scores_gemma":[0.9984851,0.0001603607,0.0004583743,0.0006187072,0.0001220275,0.0001554525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009810658,0.0001906259,0.001550552,0.0001739769,0.0002804784,0.0001194037,0.02890556,0.001067924,0.136513,0.7818297,0.009099867,0.0401708],"study_design_scores_gemma":[0.002120074,0.005435574,0.003154773,0.001411117,0.0004085752,0.00019336,0.05293083,0.001426155,0.5054783,0.4071484,0.01652455,0.003768265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8717343,0.002845098,0.00002747212,0.003282672,0.0004937488,0.001815737,0.000164045,0.000480874,0.1191561],"genre_scores_gemma":[0.82707,0.002021587,0.001098665,0.0004256995,0.00009836379,0.00008886932,0.00001724378,0.00007265016,0.1691069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3746814,"threshold_uncertainty_score":0.9998154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214719590516725,"score_gpt":0.2854968434930579,"score_spread":0.2633496475878906,"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."}}