{"id":"W2590882751","doi":"10.1039/c7ee00158d","title":"Environmental life cycle assessment and techno-economic analysis of triboelectric nanogenerators","year":2017,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Triboelectric effect; Life-cycle assessment; Environmental analysis; Environmental science; Nanotechnology; Materials science; Engineering; Chemistry; Composite material; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001788688,0.0001802803,0.0002868978,0.0002249344,0.0004285145,0.00008564942,0.0004106142,0.00005278879,0.0001789574],"category_scores_gemma":[0.000008558115,0.0001803258,0.00006399246,0.0001162412,0.0007202784,0.0004055656,0.0001741812,0.00005226914,0.000004825667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858087,"about_ca_system_score_gemma":0.00001695188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001147399,"about_ca_topic_score_gemma":0.00001529331,"domain_scores_codex":[0.9988294,0.00001269988,0.0002615855,0.0003534069,0.000228517,0.0003144411],"domain_scores_gemma":[0.9991884,0.00001811612,0.0001285515,0.000492688,9.423643e-7,0.0001712688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000206718,0.00001969183,0.007057936,0.000001618735,0.00007085285,0.000001749602,0.00001636642,0.2422424,0.7422885,0.0002812952,0.000002069569,0.008015519],"study_design_scores_gemma":[0.0002668759,0.00005140229,0.3483712,0.000004692826,0.0001482343,0.000004003377,0.00005551918,0.1560334,0.4941669,0.00007622996,0.0004796029,0.0003419832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976274,0.0001513216,0.0007846544,0.000008077162,0.0001616025,0.00003255191,0.00005097256,0.00004482843,0.001138537],"genre_scores_gemma":[0.9984635,0.0005123619,0.0008837194,0.00001540915,0.00003318054,0.0000109162,0.00001203123,0.00001847429,0.00005036695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3413133,"threshold_uncertainty_score":0.7353473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005364614498238961,"score_gpt":0.2143474702063141,"score_spread":0.2089828557080751,"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."}}