{"id":"W2068260182","doi":"10.5539/jsd.v1n3p81","title":"TSA: An Expert System for Solid Waste Transfer Station","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expert system; Transfer station; Site selection; Selection (genetic algorithm); Computer science; Remedial action; Municipal solid waste; Work (physics); Transfer (computing); Control (management); Identification (biology); Operations research; Engineering; Waste management; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166946,0.0005206341,0.0006212294,0.0009512283,0.0003946008,0.0007922057,0.001046395,0.000708708,0.01508131],"category_scores_gemma":[0.003542517,0.0002834323,0.0003495889,0.0005107703,0.000226081,0.001071814,0.0006834737,0.000743873,0.005902971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004786076,"about_ca_system_score_gemma":0.001064812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002833189,"about_ca_topic_score_gemma":0.002321732,"domain_scores_codex":[0.9992167,0.0001856209,0.0001126972,0.0001501086,0.0002868836,0.00004810644],"domain_scores_gemma":[0.9984469,0.0006466699,0.00007495877,0.0001168719,0.0006223223,0.00009226543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00152261,0.0003288479,0.00222863,0.001457435,0.0001482501,0.001020923,0.001158459,0.05174277,0.1193869,0.006447874,0.05767153,0.7568858],"study_design_scores_gemma":[0.0006002833,0.0005153681,0.00380967,0.0002977254,0.0002244072,0.001379162,0.0004776965,0.6893788,0.08729269,0.007629482,0.2082022,0.0001924967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01934375,0.0002837933,0.9097298,0.0002521538,0.0001543367,0.000740717,0.001876146,0.05450755,0.01311168],"genre_scores_gemma":[0.2376837,0.0005510791,0.7341897,0.0002648574,0.0001011421,0.001160709,0.004110598,0.001392744,0.02054549],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01508131,"threshold_uncertainty_score":0.05045205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136078151687161,"score_gpt":0.2562043560316165,"score_spread":0.2448435745147448,"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."}}