{"id":"W2885202036","doi":"","title":"Brazil doubles magnesia exports in Q1","year":2017,"lang":"zh","type":"article","venue":"Industrial Minerals","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Magnesium; Value (mathematics); Agricultural economics; Economics; Geography; Environmental science; Business; Mathematics; Metallurgy; Statistics; Materials science; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002253852,0.0002142509,0.000233265,0.0009549915,0.0003297077,0.001364036,0.0002138298,0.0004360238,0.008410997],"category_scores_gemma":[0.002468767,0.0001883011,0.0003806032,0.001714204,0.0002748459,0.0007380585,0.0005535313,0.0004114004,0.0009960453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363285,"about_ca_system_score_gemma":0.00124952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1285798,"about_ca_topic_score_gemma":0.1253535,"domain_scores_codex":[0.9998235,0.000008733044,0.000009289097,0.0000319517,0.00006448638,0.00006207269],"domain_scores_gemma":[0.9988433,0.0001484445,0.0005018379,0.00004896131,0.0003433309,0.0001141138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000533992,0.00006311028,0.7868733,0.001287915,0.0002972371,0.001816549,0.003487068,0.001217788,0.007673028,0.02616086,0.08279719,0.08779194],"study_design_scores_gemma":[0.00002226545,0.00007063499,0.8952806,0.0002183352,0.00007442044,0.000585154,0.002229312,0.0006766808,0.00149558,0.0009120915,0.09841254,0.00002245245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8921492,0.004606422,0.0003438168,0.007682511,0.0001535256,0.00002850411,0.03706418,0.0002718529,0.05769992],"genre_scores_gemma":[0.9844582,0.001244695,0.000111704,0.0002612484,0.0000435728,0.00001011302,0.005372297,0.00003630589,0.008461821],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1285798,"threshold_uncertainty_score":0.2556628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126945042060442,"score_gpt":0.2743938799923096,"score_spread":0.1474488379318676,"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."}}