{"id":"W2891087139","doi":"10.1007/978-3-319-95022-8_212","title":"Critical Materials Traceability: More Important Than Metallurgy","year":2018,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"Lawrence Livermore National Laboratory; Australian Nuclear Science and Technology Organisation; European Commission; Hewlett-Packard Development Company","keywords":"Traceability; Production (economics); Supply chain; Commerce; Business; Praseodymium; Electronics; Natural resource economics; Engineering; Materials science; Economics; Electrical engineering; Metallurgy","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":[0.0005767511,0.001398176,0.0007821975,0.001817048,0.0008794839,0.003814646,0.001192175,0.001464258,0.02529727],"category_scores_gemma":[0.0009558575,0.0004223748,0.0003611393,0.001750583,0.002301227,0.006316986,0.001449655,0.003090861,0.009130722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842672,"about_ca_system_score_gemma":0.001702242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008995095,"about_ca_topic_score_gemma":0.00193062,"domain_scores_codex":[0.9994133,0.00005913573,0.00002462495,0.0001253985,0.0003446155,0.00003289993],"domain_scores_gemma":[0.9995048,0.0002518622,0.00002801527,0.00004699861,0.0001375167,0.00003083755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002854223,0.00008879222,0.00009483602,0.001381906,0.00001091231,0.00008735246,0.0003711717,0.00090745,0.005812179,0.4279768,0.1571154,0.4061247],"study_design_scores_gemma":[0.000001689608,0.00001899272,0.00007436902,0.0002697726,0.00000369904,0.0001311968,0.00007879566,0.0002336823,0.001978285,0.0902592,0.906943,0.000007214568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002298451,0.230909,0.05641813,0.01426886,0.01492881,0.00009852764,0.0002044201,0.0005117783,0.680362],"genre_scores_gemma":[0.02055669,0.1208521,0.01971286,0.004812548,0.00563,0.00009192703,0.0002420842,0.0006507097,0.8274512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02529727,"threshold_uncertainty_score":0.08462787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234515228811474,"score_gpt":0.2622399207808502,"score_spread":0.2398947684927354,"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."}}