{"id":"W2356368571","doi":"","title":"RISK EVALUATION MODEL OF STRATEGIC TARGETS SELECTION OF OVERSEAS COPPER DEVELOPMENT AND ITS APPLICATION","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":"Selection (genetic algorithm); Business; Copper; Meaning (existential); Identification (biology); Index (typography); Strategic development; Risk analysis (engineering); Computer science; Artificial intelligence; Business administration","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":[0.002089452,0.0009775455,0.0005396959,0.00161729,0.0006261282,0.001693961,0.001011067,0.0007695778,0.002808064],"category_scores_gemma":[0.003638335,0.0002744612,0.0009163953,0.001030858,0.0006362861,0.001476242,0.001141218,0.0007657873,0.0002214386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771866,"about_ca_system_score_gemma":0.00232708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016394,"about_ca_topic_score_gemma":0.008214886,"domain_scores_codex":[0.9978964,0.0008747906,0.0001002404,0.0002856615,0.0006424915,0.000200286],"domain_scores_gemma":[0.9987575,0.0005728853,0.000183848,0.00005263949,0.0003679702,0.00006514588],"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":[0.00006367279,0.00004585487,0.005619923,0.00005435719,0.00004497216,0.0001367217,0.0002423505,0.9464644,0.0007902678,0.02483044,0.000650835,0.02105615],"study_design_scores_gemma":[0.000006563714,0.00004511543,0.001293959,0.00001152618,0.00001917548,0.00004854787,0.000107489,0.9907131,0.0004153847,0.006722958,0.0006028398,0.000013384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1680464,0.0002981384,0.8116112,0.0005157489,0.00003395626,0.0001884955,0.0001828929,0.0002349321,0.01888827],"genre_scores_gemma":[0.9671022,0.0001891501,0.02823193,0.00002707605,0.000008591503,0.0001360482,0.0001076416,0.00001966028,0.004177634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.016394,"threshold_uncertainty_score":0.03259718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006319706280102,"score_gpt":0.2748392339365184,"score_spread":0.1742072633085082,"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."}}