{"id":"W4402919914","doi":"10.1016/j.resconrec.2024.107920","title":"Monitoring China's solar power plant in-use stocks and material recycling potentials using multi-source geographical data","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"China; Environmental science; Power station; Solar power; Environmental engineering; Waste management; Power (physics); Geography; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001299359,0.0001835963,0.0002424607,0.0001183176,0.0002850465,0.0004392053,0.0001677237,0.0001555921,0.00003572274],"category_scores_gemma":[0.0002002191,0.0001603694,0.00003363514,0.0002208578,0.000171302,0.0005713667,0.00046403,0.0002407218,0.000001929429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007473773,"about_ca_system_score_gemma":0.00001365552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208884,"about_ca_topic_score_gemma":0.0002790669,"domain_scores_codex":[0.9981714,0.0001860756,0.0004590151,0.0006444351,0.0002335577,0.0003055516],"domain_scores_gemma":[0.999272,0.0001917087,0.00008545941,0.0003241553,0.000008456718,0.0001182033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005463431,0.00003254871,0.9594437,0.00009654948,0.00002013372,0.0000355322,0.00201664,0.000339248,0.03325513,0.000003586889,0.0000243164,0.004678025],"study_design_scores_gemma":[0.0004278907,0.00002719275,0.7724677,0.0005470152,0.0000327683,0.00008067713,0.001430224,0.2039488,0.000725718,0.00009071376,0.01988259,0.000338724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972631,0.0004717213,0.001279016,0.000166636,0.0003741954,0.0003109464,0.00003090124,0.00007945571,0.00002406619],"genre_scores_gemma":[0.9979908,0.0001587979,0.001568467,0.00004537188,0.00009517922,0.000005976541,0.00001633756,0.00002229753,0.00009675116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2036095,"threshold_uncertainty_score":0.9944897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04335158526448738,"score_gpt":0.2811194051504441,"score_spread":0.2377678198859568,"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."}}