{"id":"W7117467813","doi":"10.3390/su18010255","title":"Global and Regional Gallium Recycling Potential and Opportunities: Based on Historical Material Flow Analysis","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Material flow analysis; Gallium; Material flow; Scale (ratio); Flow (mathematics); Supply and demand; Scenario analysis","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":[0.0001810589,0.0001031182,0.0001612068,0.0001214222,0.00009830751,0.00006373598,0.00003867495,0.00007891541,0.00004974973],"category_scores_gemma":[0.0001013116,0.0001062978,0.00004713734,0.0002023257,0.00004755089,0.0000785392,0.00001377573,0.00006452978,1.756448e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007776746,"about_ca_system_score_gemma":0.0001341316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004826753,"about_ca_topic_score_gemma":0.00003143226,"domain_scores_codex":[0.9993319,0.00004341927,0.0001878902,0.000194478,0.0001116912,0.0001306593],"domain_scores_gemma":[0.9995626,0.00004386943,0.00001921651,0.0001306217,0.0001752466,0.000068408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00240616,0.0006372909,0.08631407,0.005245418,0.001183202,0.0001676563,0.000855843,0.7028664,0.0002724477,0.03334235,0.03947485,0.1272343],"study_design_scores_gemma":[0.0009534511,0.0001019558,0.08392914,0.000022985,0.0004700202,0.000005483118,0.0008768341,0.778335,0.0001555339,0.01572619,0.1189256,0.0004978033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8258738,0.0003615129,0.153663,0.00747535,0.0009778263,0.0003763521,0.00004758415,0.0005272534,0.0106973],"genre_scores_gemma":[0.9984959,0.00002672149,0.0002502436,0.0001701305,0.00003970773,0.00001335154,0.00001932877,0.000003988201,0.000980609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1726221,"threshold_uncertainty_score":0.43347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127091136176437,"score_gpt":0.2608024574835028,"score_spread":0.2480933438658591,"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."}}