{"id":"W2096116433","doi":"10.5539/jsd.v6n8p52","title":"Design of Performance Improvement Factors (PIFs) for Sustainable Development Indicators (SDIs) Metrics for Oil Sands Projects with Application to Surface Mining Operations Based on Continual Performance Improvement (CPI)","year":2013,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sustainability; Sustainable development; Stakeholder; Flexibility (engineering); Environmental economics; Process management; Environmental resource management; Business; Computer science; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001390519,0.0003620043,0.0004959043,0.0008356671,0.0003453367,0.0001314466,0.0003557439,0.0001151255,0.00001106555],"category_scores_gemma":[0.00007663015,0.0003063499,0.00006025222,0.0005955703,0.00002307442,0.0005375894,0.00006826309,0.0001556117,0.000001080872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762239,"about_ca_system_score_gemma":0.00119904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010523,"about_ca_topic_score_gemma":0.00000217939,"domain_scores_codex":[0.9974501,0.00001156795,0.001113732,0.0002760117,0.0003597645,0.0007888438],"domain_scores_gemma":[0.9979495,0.0001255542,0.0004058863,0.0002264739,0.001089067,0.0002034902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005251195,0.0003210994,0.004158599,0.00318095,0.0003092882,0.000003922834,0.008712639,0.9107587,0.002575931,0.0001610561,0.001263889,0.06802878],"study_design_scores_gemma":[0.003746193,0.005872577,0.003898971,0.000411918,0.00009245319,0.000004096604,0.03735221,0.3446526,0.5807268,0.000009576152,0.02207265,0.001159971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7040769,0.00001895754,0.2936886,0.00003183684,0.000044864,0.00202019,0.000002088865,0.00003959371,0.00007692102],"genre_scores_gemma":[0.779699,0.00002280284,0.2183472,0.00004746004,0.00002439437,0.00113039,0.0000184642,0.00005601328,0.0006543007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5781509,"threshold_uncertainty_score":0.9999388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093307497756379,"score_gpt":0.2086130269358526,"score_spread":0.1976799519582888,"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."}}