{"id":"W2034730539","doi":"10.1007/s10100-011-0190-y","title":"Efficient generation of alternative perspectives in public environmental policy formulation: applying co-evolutionary simulation–optimization to municipal solid waste management","year":2011,"lang":"en","type":"article","venue":"Central European Journal of Operations Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Set (abstract data type); Mathematical optimization; Operations research; Management science; Mathematics; Economics","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":[0.0008187908,0.0001281033,0.0001442943,0.001334166,0.0001784777,0.000085646,0.0002759187,0.00002263874,0.0001275718],"category_scores_gemma":[0.00004980591,0.0001279595,0.000056691,0.00060834,0.00005791771,0.0003536363,0.00009414009,0.0002004909,0.00001371734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588552,"about_ca_system_score_gemma":0.00002293962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001078839,"about_ca_topic_score_gemma":0.00000598386,"domain_scores_codex":[0.9980085,0.0003673658,0.0005978252,0.0001577902,0.0005348559,0.00033368],"domain_scores_gemma":[0.999438,0.00002013874,0.00006282093,0.0001668636,0.0001815806,0.0001305794],"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":[0.00003647607,0.0001615688,0.000232313,0.00001632211,0.00005516355,0.00001609158,0.01141094,0.9847103,0.0006005329,0.001283842,0.00003281692,0.001443645],"study_design_scores_gemma":[0.0005994381,0.0001241919,0.004108484,0.00004083231,0.000008915581,0.000003056701,0.00414096,0.9901901,0.0005144562,0.000007883351,0.0001511021,0.0001106036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7174175,0.0001162265,0.2750365,0.00006803193,0.00009586313,0.0007145749,0.00001107197,0.00001877403,0.006521357],"genre_scores_gemma":[0.9871408,0.0001486864,0.01228378,0.000007621746,0.0002443257,0.00001211475,0.00004180897,0.00003241703,0.00008839345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2697233,"threshold_uncertainty_score":0.5218037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106503578017703,"score_gpt":0.3144465929053241,"score_spread":0.2037962351035539,"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."}}