{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009786516,0.0004805653,0.0002862178,0.001209425,0.0002338126,0.000756448,0.000311929,0.0004440924,0.0006385305],"category_scores_gemma":[0.003557357,0.0001199046,0.000229631,0.0005180468,0.0001817249,0.0008048866,0.0004137355,0.0004557065,0.00009352294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00060724,"about_ca_system_score_gemma":0.0005664869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008058241,"about_ca_topic_score_gemma":0.005380246,"domain_scores_codex":[0.9994491,0.0001576163,0.00005918659,0.00006544946,0.0002035852,0.00006502571],"domain_scores_gemma":[0.9989964,0.0004241046,0.0001607795,0.00002333334,0.000337388,0.00005794862],"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":[0.001655972,0.0003736344,0.2416747,0.0003648536,0.0002979234,0.0008106774,0.0007380383,0.3562507,0.009286732,0.003816924,0.005036804,0.3796931],"study_design_scores_gemma":[0.00001610033,0.0001472169,0.03394926,0.00003998373,0.00005559975,0.00006582157,0.0002048537,0.9610516,0.002822831,0.001104939,0.0005126172,0.00002923593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8973227,0.0004370557,0.091927,0.0009071145,0.0001190168,0.00009887884,0.0002868389,0.0003771425,0.008524125],"genre_scores_gemma":[0.9950626,0.0001284419,0.003975999,0.00002186045,0.00001234926,0.00001936097,0.0000893903,0.000002411838,0.0006874924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008058241,"threshold_uncertainty_score":0.01602268,"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."}}