{"id":"W2270848170","doi":"10.1080/10826068.2015.1085400","title":"Catalase purification from rat liver with iron-chelated poly(hydroxyethyl methacrylate-<i>N</i>-methacryloyl-(<scp>l</scp>)-glutamic acid) cryogel discs","year":2015,"lang":"en","type":"article","venue":"Preparative Biochemistry & Biotechnology","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hacettepe Üniversitesi; University of Lethbridge","keywords":"Catalase; Nuclear chemistry; Swelling; Methacrylate; Adsorption; Chemistry; Fourier transform infrared spectroscopy; Chelation; Swelling capacity; Materials science; Polymer chemistry; Copolymer; Polymer; Biochemistry; Enzyme; Chemical engineering; Inorganic chemistry; Organic chemistry; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006525916,0.0007720281,0.000743504,0.0002075859,0.0002339554,0.000147176,0.001194914,0.001182054,0.00009636872],"category_scores_gemma":[0.0009983953,0.0006806641,0.0001337567,0.00094632,0.001558556,0.0006139335,0.0005242585,0.0007126268,0.001155998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002505,"about_ca_system_score_gemma":0.0005449508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004756555,"about_ca_topic_score_gemma":0.00006330312,"domain_scores_codex":[0.9953979,0.000307237,0.0007764411,0.001820001,0.0006609256,0.001037518],"domain_scores_gemma":[0.9962511,0.000367324,0.0006689395,0.001859278,0.0003816213,0.0004717089],"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":[0.0002665845,0.0003516069,0.0002386075,0.00003250342,0.00007837162,0.0001068079,0.001258943,0.0001075365,0.9953612,0.00007780569,0.001537349,0.0005826745],"study_design_scores_gemma":[0.001630747,0.0003385711,0.00006463372,0.00005595247,0.0001729475,0.0000712761,0.001415572,0.001286044,0.9918915,0.0003992132,0.00222632,0.0004472131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866104,0.006813877,0.00325336,0.0006834471,0.0003194016,0.0006650148,0.0002942055,0.001064218,0.0002961509],"genre_scores_gemma":[0.989944,0.0001216898,0.008321931,0.0001409432,0.0001387506,0.000217889,0.0003016569,0.00008820395,0.0007249833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006692187,"threshold_uncertainty_score":0.9996217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304264043020769,"score_gpt":0.2356954159335576,"score_spread":0.2226527755033499,"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."}}