{"id":"W2074189085","doi":"10.1016/j.biortech.2011.08.133","title":"Efficient and simple method for determination of suspendibility of bio-inoculant suspensions","year":2011,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Institut National de la Recherche Scientifique","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Zeta potential; Microbial inoculant; Mathematics; Sorbitol; Viscosity; Linear regression; Particle size; Chemistry; Chromatography; Statistics; Food science; Materials science; Physics; Thermodynamics; Horticulture; Biology; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002009138,0.00008851858,0.0001763292,0.0001050466,0.00004197067,0.000001203465,0.0001289932,0.0001086823,0.0001257729],"category_scores_gemma":[0.00004039202,0.00006954337,0.00004773608,0.0001702173,0.0003493723,0.00001049943,0.0001688994,0.00003252719,0.000004749534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002470725,"about_ca_system_score_gemma":0.000003349164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002272249,"about_ca_topic_score_gemma":0.00006852888,"domain_scores_codex":[0.9993207,0.00002642454,0.0001954524,0.0002216798,0.00007804583,0.0001577293],"domain_scores_gemma":[0.9995579,0.00004739023,0.0001118487,0.0002404526,0.00001224342,0.00003020058],"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":[0.0001169162,0.0003607635,0.2332296,0.00002438316,0.00002152827,0.000005066509,0.0006879244,0.000009268657,0.7309096,0.001253761,0.00002734423,0.03335382],"study_design_scores_gemma":[0.0004812501,0.0003753295,0.0340573,0.00000522471,0.00004957391,0.00001889321,0.00027676,0.003937079,0.9567839,0.00366982,0.0002537626,0.0000911294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941153,0.00003214122,0.005279422,0.00003770348,0.00001175241,0.0003136933,0.00001247472,0.0000339951,0.0001635037],"genre_scores_gemma":[0.8542399,0.000001292772,0.1457142,0.000003136332,0.000001950617,0.00001061382,0.000003497214,0.000005818728,0.00001957665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2258742,"threshold_uncertainty_score":0.2835896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214446266650793,"score_gpt":0.258038728839835,"score_spread":0.235894266173327,"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."}}