{"id":"W4312610707","doi":"10.1130/abs/2022am-378325","title":"CAN CRITICAL METAL SUPPLY PROBLEMS BE SOLVED USING EXISTING BUT HIDDEN MATERIALS FLOWS? TELLURIUM AND THE USA-CANADIAN MINING VALUE CHAIN","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tellurium; Supply chain; Value (mathematics); Computer science; Chain (unit); Materials science; Business; Metallurgy; Machine learning; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026983,0.0002981668,0.000521391,0.0000370751,0.0007057848,0.0001236621,0.000246238,0.0001231074,0.0005635612],"category_scores_gemma":[0.0001180719,0.0002004062,0.0001601607,0.0002571462,0.0008545338,0.0001167898,0.00012821,0.0006105853,0.000001847076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000991248,"about_ca_system_score_gemma":0.00007263087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03631651,"about_ca_topic_score_gemma":0.001017923,"domain_scores_codex":[0.9977974,0.0002013286,0.0005301459,0.0003598037,0.000400017,0.0007112504],"domain_scores_gemma":[0.9989968,0.0003296301,0.0001690752,0.0001867049,0.00005416111,0.0002636233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009335899,0.001789567,0.01591168,0.002448857,0.00381583,0.0003089509,0.03727277,0.2737136,0.2587273,0.003502773,0.001160383,0.4004146],"study_design_scores_gemma":[0.009731451,0.00506124,0.05384286,0.0005568677,0.001761432,0.002339455,0.08253025,0.7010676,0.0129746,0.001528429,0.1228404,0.005765403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954523,0.000224674,0.0003442387,0.002059813,0.0002609457,0.0006160265,0.00004044357,0.0001412821,0.0008602027],"genre_scores_gemma":[0.9619957,0.00002792212,0.03696641,0.0006266115,0.0001213324,0.0001039393,0.00004834245,0.00003258862,0.00007720145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4273539,"threshold_uncertainty_score":0.9701008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954062066852727,"score_gpt":0.2549582449497712,"score_spread":0.2154176242812439,"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."}}