{"id":"W4226429692","doi":"10.2139/ssrn.4030601","title":"Enhancement of Biosludge Dewatering Using Proteins Through Dual Conditioning","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dewatering; Dual (grammatical number); Conditioning; Chemistry; Pulp and paper industry; Environmental science; Engineering; Mathematics; Statistics; Geotechnical engineering; Art","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":[0.0006063383,0.0001612054,0.000197542,0.0001255938,0.0003599951,0.00002748764,0.0001817596,0.00003580125,0.000066979],"category_scores_gemma":[0.000005153419,0.0001790242,0.00009629226,0.0002558444,0.00002659295,0.0001703706,0.00007396112,0.001294263,0.000001695934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856627,"about_ca_system_score_gemma":0.0004389455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004590413,"about_ca_topic_score_gemma":0.00007022555,"domain_scores_codex":[0.9976756,0.00004209814,0.000371787,0.0001356337,0.0002944303,0.001480464],"domain_scores_gemma":[0.9996777,0.00001127748,0.0001058609,0.0001323618,0.00003661658,0.00003625344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002051177,0.00005951674,0.0001128541,0.00002944345,0.0002736297,0.0000100375,0.0003936416,0.1958874,0.7346403,0.06774815,0.00000783586,0.0008166172],"study_design_scores_gemma":[0.00143931,0.001145968,0.00003948556,0.00005477486,0.0001125654,0.00233999,0.00175469,0.8158112,0.06217252,0.1136657,0.0007021228,0.0007616839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031361,0.001329205,0.1948049,0.00002761569,0.0002324848,0.0001318925,0.00001053701,0.00004658417,0.0002807031],"genre_scores_gemma":[0.9976699,0.0007458508,0.001302834,0.00001499624,0.00008839814,0.00001745847,0.00001745294,0.00004990353,0.00009318374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6724678,"threshold_uncertainty_score":0.7300394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007268272616603391,"score_gpt":0.2146000164448399,"score_spread":0.2073317438282365,"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."}}