{"id":"W2386417845","doi":"","title":"FINANCIAL RISK ASSESSMENT OF OVERSEAS MINING INVESTMENT BASED ON GRA AND TOPSIS","year":2015,"lang":"en","type":"article","venue":"Resources and Industries","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Business; Financial risk; Delphi method; Finance; Investment (military); Identification (biology); Delphi; Index (typography); Economics; Political science; Computer 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":[0.0001643272,0.00006595423,0.00009286802,0.00005818216,0.00003813121,0.00002771411,0.00002181316,0.00006025755,0.00001943575],"category_scores_gemma":[0.00008536802,0.00005935444,0.000009461703,0.00008128872,0.00003919444,0.00005295618,0.00001169847,0.00006831853,2.072334e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001957566,"about_ca_system_score_gemma":0.00003755879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001192699,"about_ca_topic_score_gemma":0.000002775911,"domain_scores_codex":[0.9995794,0.00002680627,0.0001102471,0.000072826,0.00014414,0.00006652327],"domain_scores_gemma":[0.9997681,0.00003903977,0.00003397745,0.00006269626,0.00003591026,0.00006030272],"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":[0.00001612594,0.0000218222,0.06576917,0.00002610774,0.00001508429,7.79219e-7,0.001535453,0.9165617,0.00001085611,0.001936255,0.007102343,0.007004371],"study_design_scores_gemma":[0.0007362468,0.0001459811,0.02852855,0.00004511233,0.0000224643,3.461231e-7,0.0006494839,0.9413139,0.0002147515,0.0001269512,0.02811093,0.0001052323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860622,0.0002184669,0.001829755,0.000106987,0.00004353503,0.00007844971,0.00001774014,0.00003317156,0.01160967],"genre_scores_gemma":[0.997734,0.0000683531,0.001904605,0.0001509947,0.00002920196,0.0000050743,0.000005451213,0.000006641574,0.00009574267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03724061,"threshold_uncertainty_score":0.2420404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093860346204745,"score_gpt":0.262529519528345,"score_spread":0.2215909160662976,"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."}}