{"id":"W4399444746","doi":"10.1007/s10098-024-02902-2","title":"Environmental life cycle analysis of manufacturing options for humanitarian supplies: drinking water containers","year":2024,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Industrial and production engineering; Life-cycle assessment; Life cycle inventory; Business; Sustainable development; Waste management; Environmental science; Engineering; Natural resource economics; Environmental planning; Economics; Production (economics); Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001695632,0.0002430682,0.0002934395,0.0004237195,0.0002262673,0.0000729847,0.0003022829,0.0001372961,0.0002797511],"category_scores_gemma":[0.000009767786,0.0001971092,0.0001982875,0.0001524676,0.0006511778,0.000201517,0.0006865773,0.0001473448,0.00002619334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235398,"about_ca_system_score_gemma":0.000002046014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000285663,"about_ca_topic_score_gemma":0.00009561376,"domain_scores_codex":[0.998575,0.00001433295,0.0003247929,0.000498685,0.000179126,0.0004081134],"domain_scores_gemma":[0.999478,0.00004615166,0.00005657953,0.0003586729,3.366765e-7,0.00006025681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003489957,0.0001837297,0.007961536,0.00008680556,0.0009823947,0.00001139701,0.001096088,0.006764996,0.04718111,0.003428085,0.0008410783,0.9314279],"study_design_scores_gemma":[0.001691627,0.001413995,0.1219465,0.0001755182,0.00352569,0.00002473175,0.1667912,0.05872141,0.528941,0.04739275,0.06649726,0.002878352],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957989,0.0002059473,0.001731914,0.0005902523,0.00003836929,0.0003804181,0.0001067632,0.0004833333,0.000664112],"genre_scores_gemma":[0.9974612,0.0009527092,0.0009597495,0.00008790047,0.00002849782,0.00007221153,0.0001249984,0.00003293683,0.0002797897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9285495,"threshold_uncertainty_score":0.8037878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584913383400566,"score_gpt":0.2298175933864076,"score_spread":0.2212326800030071,"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."}}