{"id":"W4411080973","doi":"10.1016/j.ijhydene.2025.06.077","title":"Study on the efficient separation of Bayan Obo rare earth ore by hydrogen-based mineral phase transformation technology: A process mineralogy approach","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"National Natural Science Foundation of China","keywords":"Mineral; Rare earth; Process (computing); Metallurgy; Phase (matter); Chemistry; Mineralogy; Materials science; Computer science","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":[0.0001108899,0.0001191774,0.0002216029,0.0001359728,0.00021084,0.000235597,0.0001720434,0.0001966512,0.0006499813],"category_scores_gemma":[0.00009189131,0.00007593075,0.0002242401,0.0001493282,0.00015608,0.0003717296,0.0001698684,0.0003065539,0.0001287355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553773,"about_ca_system_score_gemma":0.0003146923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008067095,"about_ca_topic_score_gemma":0.001481243,"domain_scores_codex":[0.9999309,0.000006314846,0.00000401344,0.00001255323,0.00003274323,0.00001348482],"domain_scores_gemma":[0.999977,0.000005654804,0.000004623294,0.000002301003,0.000007806495,0.000002704057],"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":[0.0001268947,0.00006113642,0.0005480691,0.0001953263,0.000007717743,0.0001236956,0.00005924381,0.000319461,0.9922666,0.0007420107,0.00005958747,0.00549023],"study_design_scores_gemma":[0.00001606513,0.0003298689,0.002209858,0.000005174789,0.00001719502,0.0002061096,0.00009991485,0.002634321,0.9918954,0.0001918136,0.002387623,0.00000671961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958,0.0007091846,0.001676795,0.00008764367,0.00001048053,0.00001583944,0.00003494059,0.000008668105,0.001656492],"genre_scores_gemma":[0.995719,0.0008227343,0.001379516,0.00002288935,0.000005316021,0.000006002966,0.00004872036,0.000004114018,0.001991716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008067095,"threshold_uncertainty_score":0.002174437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154444122258425,"score_gpt":0.2922128217204374,"score_spread":0.2806683804978532,"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."}}