{"id":"W4387385875","doi":"10.2139/ssrn.4591284","title":"Design of Porous Spherical Biomaterials from Carboxymethyl Chitosan for Removal of Fluoxetine in Aqueous Medium","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Chitosan; Chemical engineering; Porosity; Aqueous solution; Materials science; Chemistry; Polymer chemistry; Biomedical engineering; Composite material; Organic chemistry; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001867755,0.0004912764,0.001439231,0.0002421554,0.00005591485,0.00004814316,0.0009046773,0.0007188695,0.0001232518],"category_scores_gemma":[0.0006123211,0.0004781886,0.0003857749,0.000190519,0.0001299644,0.00006120951,0.0003233871,0.001133207,0.000005064288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009018268,"about_ca_system_score_gemma":0.005112878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590711,"about_ca_topic_score_gemma":0.0003019016,"domain_scores_codex":[0.9949775,0.0001492579,0.001928507,0.0005853684,0.0005142217,0.001845087],"domain_scores_gemma":[0.9968654,0.0004676959,0.001748473,0.000675482,0.0001280418,0.0001148866],"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":[0.0007356021,0.0001767763,0.00005851666,0.0002844611,0.0007075787,0.00006501623,0.0001503929,0.0005499594,0.9956766,0.0001607866,0.0000223387,0.001411941],"study_design_scores_gemma":[0.001567659,0.0001751885,0.00005065162,0.0003982603,0.0003188332,0.0006402287,0.0004116351,0.0002332807,0.918566,0.07718592,0.00005395063,0.0003984255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844312,0.002516475,0.009944534,0.0002029174,0.001584496,0.0004646756,0.0006888387,0.0000881895,0.00007867629],"genre_scores_gemma":[0.989818,0.002737041,0.005274469,0.000003790584,0.001165396,0.00008626661,0.0005225903,0.0001797517,0.0002127277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07711066,"threshold_uncertainty_score":0.999767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602882369840799,"score_gpt":0.273695165943436,"score_spread":0.247666342245028,"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."}}