{"id":"W4389785324","doi":"10.26434/chemrxiv-2023-t7c5s","title":"Biosourced Spherical Microbeads from Brewer’s Spent Grain for Sustainable Personal Hygiene Products","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Mitacs; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Homogeneous; Raw material; Petrochemical; Pulp and paper industry; Materials science; Personal hygiene; Chemical engineering; Chemistry; Organic chemistry; Mathematics; Engineering","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":[0.0006123876,0.0004620816,0.0005689427,0.00002100605,0.0003205946,0.0002688557,0.0006844267,0.0005205108,0.0004881747],"category_scores_gemma":[0.0004034486,0.0002186332,0.0003406291,0.0002921727,0.0001727044,0.00007799179,0.001061966,0.000440545,0.00008569766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122369,"about_ca_system_score_gemma":0.0001979461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194219,"about_ca_topic_score_gemma":0.0001782792,"domain_scores_codex":[0.9969615,0.00006764592,0.0004825873,0.001383292,0.0002198375,0.000885122],"domain_scores_gemma":[0.9987095,0.0002374496,0.0001989124,0.0002041848,0.0004460231,0.0002039516],"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":[0.001442421,0.002809734,0.02744353,0.004845029,0.001318404,0.0003854911,0.007490431,0.00006706538,0.416063,0.002386079,0.4246083,0.1111405],"study_design_scores_gemma":[0.0006504942,0.0002739701,0.07656132,0.000141519,0.00009696002,0.000004831713,0.01052,0.000188164,0.0741831,0.02375556,0.8118165,0.00180765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734411,0.0003429955,0.00004192768,0.0233977,0.0005370197,0.001701694,0.00008754468,0.0002607065,0.0001892576],"genre_scores_gemma":[0.9511959,0.0000759955,0.004204961,0.001141664,0.002231195,0.0009324595,0.003353636,0.0000146916,0.03684949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3872081,"threshold_uncertainty_score":0.8915603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102183462573858,"score_gpt":0.2318602838617183,"score_spread":0.2008384492359797,"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."}}