{"id":"W4387785309","doi":"10.2172/2202280","title":"Organic Waste Resource Assessment for the Detroit Region","year":2023,"lang":"en","type":"report","venue":"","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Battelle","keywords":"Context (archaeology); Municipal solid waste; Metropolitan area; Biodegradable waste; Environmental science; Waste management; Mixed waste; Resource (disambiguation); Environmental engineering; Geography; Engineering; Hazardous waste","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001617858,0.0003478237,0.0003422519,0.0000611073,0.0003362151,0.0001070108,0.001150037,0.0001928663,0.002757581],"category_scores_gemma":[0.0001638644,0.0002293283,0.0002375787,0.0004139732,0.0001319376,0.00005626191,0.001857182,0.0003673264,0.0008302255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732436,"about_ca_system_score_gemma":0.00008145128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956924,"about_ca_topic_score_gemma":0.002315873,"domain_scores_codex":[0.996684,0.00006842587,0.00047903,0.0007065994,0.001495763,0.0005662325],"domain_scores_gemma":[0.9977335,0.0003778849,0.0003291571,0.001432134,0.00002287633,0.0001044675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006286325,0.00003030619,0.0002892447,0.00007881904,0.0001104227,0.0000169606,0.00005070061,0.008483722,0.00001224513,0.0001218097,0.980162,0.01063744],"study_design_scores_gemma":[0.000166481,0.00007346021,0.0009623661,0.00004764886,0.0001741397,0.00001068641,0.0006194593,0.01191244,0.0000196765,0.0001711292,0.9855311,0.0003114426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004845158,0.0001366221,0.02626809,0.003783914,0.001546746,0.003414951,0.00001759396,0.0002944019,0.9640532],"genre_scores_gemma":[0.02190345,0.001142268,0.0009065621,0.0007133572,0.0008628837,0.0007301215,0.0001129214,0.000249782,0.9733787],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02536153,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09728408769953491,"score_gpt":0.3403977795033007,"score_spread":0.2431136918037659,"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."}}