{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002807375,0.0004222067,0.0004058261,0.001187278,0.001972272,0.003444117,0.001107996,0.00280993,0.01126082],"category_scores_gemma":[0.004865699,0.0001729071,0.0009537957,0.0009698864,0.003901021,0.005729301,0.001477496,0.003004612,0.0008900105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005120385,"about_ca_system_score_gemma":0.002803338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006218872,"about_ca_topic_score_gemma":0.00484509,"domain_scores_codex":[0.9975441,0.0008591468,0.000165137,0.000365288,0.0008176439,0.0002485911],"domain_scores_gemma":[0.9980302,0.001079266,0.0001301655,0.0001674695,0.0004776334,0.0001151618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004489748,0.000005879708,0.0001064749,0.00002180505,0.000002471334,0.00003339504,0.0001026424,0.0006145464,0.00004627722,0.9955402,0.001540498,0.001981301],"study_design_scores_gemma":[0.00001199814,0.00002696857,0.0005904497,0.0001171225,0.00001546097,0.0001050643,0.0003458777,0.01409467,0.0003828048,0.9308025,0.05348384,0.00002325765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03274486,0.006335296,0.3137105,0.08011936,0.001710668,0.0001571662,0.000287216,0.000143912,0.564791],"genre_scores_gemma":[0.9020928,0.004170433,0.02739046,0.006501667,0.0009677833,0.000230477,0.0001201823,0.0000691847,0.05845703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01126082,"threshold_uncertainty_score":0.03767115,"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."}}