{"id":"W2540863307","doi":"10.1109/iscram.2011.6184072","title":"An incomplete information-theoretic study of the optimization of stripping non-performance assets caused by the Energy Enterprise Crisis","year":2011,"lang":"en","type":"article","venue":"","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Asset (computer security); Stripping (fiber); Complete information; Computer science; Energy (signal processing); Enterprise information system; Value (mathematics); Risk analysis (engineering); Business; Knowledge management; Computer security; Microeconomics; Engineering; Economics; Mathematics","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":[0.003962445,0.0007471706,0.001349375,0.0008992785,0.0004985397,0.001944339,0.00127383,0.001215608,0.00166269],"category_scores_gemma":[0.01175209,0.0006872356,0.0008964596,0.00100088,0.002004253,0.003071187,0.0009499459,0.001546686,0.00008165011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002711342,"about_ca_system_score_gemma":0.001640588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243505,"about_ca_topic_score_gemma":0.003389193,"domain_scores_codex":[0.9983667,0.0008465342,0.00006060899,0.0001996374,0.0003181722,0.0002084838],"domain_scores_gemma":[0.9922292,0.005747125,0.00106757,0.0002272543,0.0005076327,0.0002211891],"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":[0.00004410733,0.00003441489,0.0009067239,0.00008988239,0.00006560207,0.0001369929,0.00007455079,0.8915623,0.0003895316,0.1016497,0.0005190984,0.004527149],"study_design_scores_gemma":[0.000008631679,0.00003448272,0.0004561827,0.00001495042,0.00001864834,0.0000204962,0.00005195074,0.9447866,0.0002257421,0.0540305,0.0003386298,0.00001322602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327103,0.00104164,0.8530685,0.002124038,0.00007841599,0.00007257386,0.0002269159,0.00004785453,0.01062972],"genre_scores_gemma":[0.9610156,0.0009414724,0.03454107,0.00009721173,0.00007660838,0.00008519306,0.0001108851,0.00002223526,0.003109768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005243505,"threshold_uncertainty_score":0.02095562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545612812228953,"score_gpt":0.2207740622120567,"score_spread":0.2053179340897672,"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."}}