{"id":"W4386995335","doi":"10.3390/gels9100775","title":"Polymeric Materials for Rare Earth Elements Recovery","year":2023,"lang":"en","type":"review","venue":"Gels","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Qinghai Normal University; National Natural Science Foundation of China; University of Alberta","keywords":"Rare earth; Hazardous waste; Scalability; Nanotechnology; Renewable energy; Sustainability; Materials science; Biochemical engineering; Computer science; Waste management; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001255062,0.0001978055,0.0005806354,0.0001227034,0.00004058144,0.00007704407,0.0001041315,0.0001126185,0.0005530402],"category_scores_gemma":[0.00004471426,0.0001830743,0.0001376343,0.0001767395,0.000004316075,0.0001032594,0.00001212766,0.00006777891,0.00108103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003228641,"about_ca_system_score_gemma":0.00005829056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001358211,"about_ca_topic_score_gemma":0.000003029101,"domain_scores_codex":[0.9990984,0.00001770865,0.0004406342,0.0001542314,0.0001073459,0.0001816589],"domain_scores_gemma":[0.9996104,0.00008140071,0.00009620416,0.0001434935,0.00003046056,0.00003809775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001463595,0.000004626766,3.054263e-8,0.02557508,0.0001480922,0.000001878942,0.000009237555,0.00001877112,0.00005282445,0.00004487467,0.029773,0.9443702],"study_design_scores_gemma":[0.00005099952,0.000009411101,1.988576e-7,0.001351089,0.00008531743,0.000004401206,0.0000035631,0.000005366413,0.000297229,0.00003544393,0.9979727,0.0001842765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002223922,0.9940445,0.0006403951,0.000003298751,0.001655692,0.000528425,0.0004632565,0.0004197927,0.002242372],"genre_scores_gemma":[0.000001414465,0.9827548,0.0001644655,0.00002068532,0.0002916599,0.0003975437,0.0004731951,0.00008313526,0.01581309],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9681997,"threshold_uncertainty_score":0.9996967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07689453670905655,"score_gpt":0.3467437829237228,"score_spread":0.2698492462146663,"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."}}