{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007673,0.00008517961,0.0001224397,0.0001030865,0.00008587801,0.00008834703,0.0004184749,0.00005233796,0.000009408574],"category_scores_gemma":[0.00007825756,0.00007854421,0.00006981628,0.0004980394,0.00002063278,0.0005186434,0.00005506858,0.0009600072,0.00001724113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249153,"about_ca_system_score_gemma":0.000691652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000520051,"about_ca_topic_score_gemma":0.000008731157,"domain_scores_codex":[0.99829,0.0001593799,0.0002748442,0.0001925602,0.0003328349,0.0007503965],"domain_scores_gemma":[0.9994099,0.00002925379,0.0002106136,0.0001526696,0.0001010809,0.00009653543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001914531,0.0003943986,0.0003302785,0.0001032503,0.0002001674,0.000006372401,0.01055065,0.08956805,0.02003302,0.6125147,0.0006518753,0.2654557],"study_design_scores_gemma":[0.0005721804,0.0003751251,0.0001071398,0.00001132251,0.000007416092,0.000227807,0.0004913723,0.9734614,0.0001408901,0.02249035,0.001991325,0.000123626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00694223,0.000358031,0.9872587,0.003726369,0.0000291606,0.0001188456,4.629528e-7,0.00005938107,0.001506804],"genre_scores_gemma":[0.9808254,0.0006553414,0.01780873,0.0002244857,0.00005782702,0.000003713888,0.00000601956,0.00001071217,0.0004077445],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9738832,"threshold_uncertainty_score":0.4170807,"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."}}