{"id":"W2361481796","doi":"","title":"PRILIMINARY DISCUSSION ON GOVERNMENT-ENTERPRISE CHESS-PLAYING MODEL FOR MINING RIGHT EVALUATION","year":2006,"lang":"en","type":"article","venue":"","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Key (lock); Expression (computer science); Government (linguistics); Computer science; Perfection; Action (physics); Factor (programming language); Balance (ability); Knowledge management; Process management; Operations research; Business; Computer security; Psychology; Engineering; Epistemology; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003803881,0.000143092,0.0001093122,0.00004911602,0.0001160947,0.00004174723,0.00007279737,0.00006851481,0.0002330356],"category_scores_gemma":[0.00002196673,0.0001041216,0.00005884895,0.00007055348,0.000008253898,0.000224842,0.00001376858,0.00004870838,0.00001485721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241514,"about_ca_system_score_gemma":0.00001783849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.110923e-7,"about_ca_topic_score_gemma":0.00000617264,"domain_scores_codex":[0.9988146,0.00002207174,0.0002654748,0.0001909835,0.0005326793,0.0001741263],"domain_scores_gemma":[0.9996433,0.00004745342,0.00004215388,0.0001636814,0.00006276267,0.00004066192],"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":[0.00002159785,0.00003505803,0.0001271893,0.00001993656,0.000006984662,1.244609e-7,0.0001520357,0.9879496,0.001237253,0.0008084218,0.007349003,0.002292819],"study_design_scores_gemma":[0.0007586858,0.00002084407,0.0002386434,0.00003607859,0.00003306361,3.870339e-7,0.00005752139,0.9959342,0.001761011,0.0007372528,0.0002567272,0.0001655855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03425058,0.00003112911,0.9233755,0.0003473524,0.0001766853,0.0005824303,0.00001641518,0.0002294669,0.04099043],"genre_scores_gemma":[0.9506169,0.000006046248,0.04411482,0.0001316179,0.00007752718,0.000172958,0.0001081126,0.00003910384,0.004732928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9163663,"threshold_uncertainty_score":0.4245957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855022571037937,"score_gpt":0.271943742294288,"score_spread":0.2433935165839086,"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."}}