{"id":"W4361027646","doi":"10.1016/j.jenvman.2023.117675","title":"Photovoltaic panel waste assessment and embodied material flows in China, 2000–2050","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Photovoltaic system; Material flow analysis; Renewable energy; Photovoltaics; Embodied energy; Sustainability; Environmental science; Waste management; Raw material; Environmental engineering; Natural resource economics; Engineering","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":[0.0005310643,0.0006798613,0.0002803248,0.002222796,0.0004245306,0.001024292,0.0004554169,0.000497775,0.0005952527],"category_scores_gemma":[0.0004010081,0.0003362808,0.0008109662,0.003200783,0.0003289557,0.001012421,0.0004907378,0.0001864295,0.000142393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003775858,"about_ca_system_score_gemma":0.002134406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1210445,"about_ca_topic_score_gemma":0.1528046,"domain_scores_codex":[0.9997763,0.00001721808,0.00002642623,0.0000464869,0.00008612249,0.00004740206],"domain_scores_gemma":[0.9996743,0.00004012297,0.00009110205,0.00001896088,0.0001500408,0.0000255517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000637382,0.0001551863,0.8269069,0.0003330528,0.0006163772,0.0007688989,0.0005362404,0.1015098,0.00936485,0.002480004,0.001678802,0.05501259],"study_design_scores_gemma":[0.0000158953,0.0001145945,0.9517032,0.00002502092,0.0002196559,0.0001168386,0.0004098278,0.03841123,0.004280571,0.0005920238,0.004070734,0.00004033263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995288,0.0004056932,0.0006170428,0.00006791572,0.000006268799,0.000007970716,0.001861352,0.00002182682,0.001723784],"genre_scores_gemma":[0.9963116,0.000251279,0.0002828257,0.00001498135,0.000003389172,0.000009680734,0.00164195,0.000003721281,0.001480415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1210445,"threshold_uncertainty_score":0.2406798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008668938304318549,"score_gpt":0.2284691463246432,"score_spread":0.2198002080203247,"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."}}