{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003435891,0.00006290631,0.00009003328,0.00006362117,0.00003437385,0.00001029633,0.00002097469,0.00007669984,0.000009582872],"category_scores_gemma":[0.00003170667,0.00006065065,0.000006131888,0.0001113637,0.00002040237,0.0001026477,0.000009000149,0.00005486781,4.959494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002754411,"about_ca_system_score_gemma":0.0000673178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005192,"about_ca_topic_score_gemma":0.00000583846,"domain_scores_codex":[0.9994533,0.0000263597,0.0001785082,0.00007854516,0.0002065605,0.00005671655],"domain_scores_gemma":[0.9996022,0.0000116316,0.00007391223,0.00003893236,0.0002274,0.00004593176],"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":[0.00001019221,0.000008291967,0.001622892,0.00002410443,0.00001685222,5.585332e-9,0.00157506,0.9899046,0.0007005081,0.0008270108,0.0001163034,0.005194172],"study_design_scores_gemma":[0.0003309153,0.00002073086,0.0005676927,0.00001098052,0.00002415082,3.199927e-7,0.0005531697,0.9863626,0.01118624,0.0003034631,0.0005787809,0.00006093521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898673,0.0009133901,0.00715905,0.00001553216,0.00001139805,0.0001821625,0.000007888283,0.00002476289,0.001818499],"genre_scores_gemma":[0.9988151,0.0001425172,0.0009439855,0.000003683391,0.0000108172,0.00001444889,0.0000144768,0.000006630695,0.00004834979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048574,"threshold_uncertainty_score":0.2473262,"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."}}