{"id":"W2366583705","doi":"","title":"WARNING OF FINANCIAL RISKS OF CHINA'S OVERSEAS MINING INVESTMENT BASED ON BP NEURAL NETWORK","year":2014,"lang":"en","type":"article","venue":"Resources and Industries","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Investment (military); Business; Warning system; Financial risk; Loan; Finance; Order (exchange); Country risk; Financial crisis; Inflation (cosmology); Economics; Geography; Politics; Political science","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":[0.000146126,0.00008851978,0.0001670213,0.00007699022,0.00005837026,0.000008406601,0.00008955525,0.0001207894,0.0000079844],"category_scores_gemma":[0.0001272914,0.00007898454,0.00002082765,0.0001818766,0.000148629,0.00003135091,0.00003191033,0.0001475372,2.610196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006253925,"about_ca_system_score_gemma":0.00001185851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000487794,"about_ca_topic_score_gemma":0.000004192012,"domain_scores_codex":[0.9994659,0.00001770329,0.0001454016,0.00009836393,0.00009587284,0.0001767095],"domain_scores_gemma":[0.9997191,0.00005872129,0.00005943117,0.0001189108,0.0000106657,0.00003318687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005546305,0.00003629273,0.199713,0.0001186599,0.00001942935,0.00000318483,0.002184325,0.6395693,0.0006184642,0.003269959,0.006406972,0.148005],"study_design_scores_gemma":[0.0009600997,0.001359256,0.3252738,0.0004722393,0.00004233843,0.000003797173,0.0007194808,0.4934276,0.007229277,0.0003078491,0.1698345,0.0003697259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965822,0.000179955,0.0001087701,0.00005836245,0.00007997885,0.00003957859,0.000002827799,0.00005467622,0.002893646],"genre_scores_gemma":[0.9994996,0.00001172465,0.0003151479,0.00006962917,0.00006241327,0.000002712356,0.000001533347,0.000007167568,0.00003002911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634275,"threshold_uncertainty_score":0.3220896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302674634638768,"score_gpt":0.2222495944249525,"score_spread":0.1992228480785648,"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."}}