{"id":"W4225166044","doi":"10.11159/icgre22.178","title":"Sand-Biosolids Mixture Characterization and Potential","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Materials Engineering and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nile University","keywords":"Biosolids; Characterization (materials science); Environmental science; Materials science; Nanotechnology; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006610349,0.0002243179,0.0001961723,0.000108204,0.0001929872,0.00006727784,0.0001596026,0.00003620361,0.00006889847],"category_scores_gemma":[0.000004464888,0.0001972906,0.0000373445,0.0001153866,0.000047486,0.0001549461,0.0001610216,0.000230689,2.498029e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004685719,"about_ca_system_score_gemma":0.000001624272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001171729,"about_ca_topic_score_gemma":2.196733e-7,"domain_scores_codex":[0.9991968,0.000003150188,0.0001960943,0.0001906079,0.0002013843,0.0002119342],"domain_scores_gemma":[0.9997934,0.00001126775,0.00005865173,0.00007175931,0.000004075855,0.00006082029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002155015,0.000005466134,0.0005953257,0.000369834,0.00004170365,0.000001029629,0.0001587454,0.04475859,0.9520048,0.0003580669,0.00008847309,0.001596393],"study_design_scores_gemma":[0.001471053,0.0001582527,0.05628315,0.0004153307,0.0001480912,0.0002978969,0.0002803812,0.4457247,0.4815586,0.0002564254,0.01198046,0.001425638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981227,0.0002687307,0.00005702257,0.00005951575,0.001004352,0.0001347743,0.0000784985,0.0001204065,0.000154001],"genre_scores_gemma":[0.9993113,0.00009874642,0.0001467014,0.00002590663,0.00007770225,0.00002272804,0.00001658443,0.0000448982,0.0002554562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4704462,"threshold_uncertainty_score":0.8045276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002565553417080302,"score_gpt":0.1566424038881529,"score_spread":0.1540768504710726,"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."}}