{"id":"W4256116496","doi":"10.2139/ssrn.3724499","title":"Reclamation of a Resource Extraction Site: A Dynamic Game Approach","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Memorial University of Newfoundland","funders":"","keywords":"Land reclamation; Extraction (chemistry); Resource (disambiguation); Computer science; Geography; Archaeology; Chemistry; Chromatography","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":[0.002512258,0.001127505,0.002118973,0.00157514,0.001991308,0.004074952,0.00524626,0.006068234,0.01912535],"category_scores_gemma":[0.006804824,0.001064914,0.001729121,0.001226815,0.002417353,0.005868192,0.003590761,0.002934305,0.00089185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00255131,"about_ca_system_score_gemma":0.003538229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009189022,"about_ca_topic_score_gemma":0.009918613,"domain_scores_codex":[0.9979644,0.0008718331,0.00006172137,0.0003278227,0.0002428899,0.0005312713],"domain_scores_gemma":[0.9965061,0.002179879,0.0002532166,0.0001920867,0.000275732,0.000593012],"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":[0.0004660338,0.000329159,0.0009708501,0.0002526621,0.0001365462,0.001267133,0.0004122706,0.7779638,0.004295819,0.1920168,0.003561205,0.01832779],"study_design_scores_gemma":[0.00006525087,0.0002469673,0.000302135,0.00003933628,0.00006508735,0.0001623545,0.0005873962,0.9393761,0.0006350625,0.05507584,0.003398148,0.00004637502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1540519,0.0004076981,0.7450917,0.003729053,0.0002073124,0.001042278,0.0004107316,0.0003303756,0.09472895],"genre_scores_gemma":[0.9170963,0.0002548133,0.05969567,0.0002209267,0.00004827372,0.0003245516,0.00009858965,0.00009223587,0.02216863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01912535,"threshold_uncertainty_score":0.06398064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344609984647184,"score_gpt":0.2514250514724357,"score_spread":0.2379789516259639,"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."}}