{"id":"W3153265802","doi":"10.3390/mi12050478","title":"Binary Pectin-Chitosan Composites for the Uptake of Lanthanum and Yttrium Species in Aqueous Media ","year":2021,"lang":"en","type":"article","venue":"Micromachines","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Research Council (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Chitosan; Biopolymer; Adsorption; Pectin; Lanthanum; Aqueous solution; Yttrium; Composite number; Chemical engineering; Materials science; Zeta potential; Covalent bond; Chemistry; Nuclear chemistry; Polymer chemistry; Composite material; Organic chemistry; Nanotechnology; Polymer; Oxide","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":[0.00004530827,0.00007686356,0.0001191712,0.00004556091,0.00004582528,0.00002543996,0.00005228852,0.00003088779,0.00003433079],"category_scores_gemma":[0.00005175362,0.00005860763,0.00002747878,0.0001171134,0.00002783472,0.00005255065,0.00001381419,0.00006882698,0.000001232822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003866578,"about_ca_system_score_gemma":0.00001136131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001328148,"about_ca_topic_score_gemma":0.0004324784,"domain_scores_codex":[0.9996166,0.000009113935,0.0001655729,0.00008198679,0.00004528313,0.00008147377],"domain_scores_gemma":[0.9996066,0.0002536174,0.00002165153,0.0000764861,0.00002519405,0.0000164523],"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":[0.00001259038,0.00002736858,0.00301868,0.0001124122,0.00002026362,0.000005533548,0.0008990049,0.0008652734,0.9919636,0.0001890023,0.00119303,0.001693265],"study_design_scores_gemma":[0.0006513859,0.00003183324,0.131572,0.00004705526,0.00002868805,0.0001055597,0.001331099,0.01461424,0.8052996,0.000271642,0.04584633,0.0002006324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983113,0.01381575,0.0003998005,0.0004240231,0.0003069144,0.00008422906,0.00003874477,0.00005373722,0.001763787],"genre_scores_gemma":[0.9982404,0.0006646662,0.0006856224,0.00003475024,0.00007479214,0.000008916176,0.00002637044,0.00001120484,0.0002533387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.186664,"threshold_uncertainty_score":0.238995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473864538008037,"score_gpt":0.2333983022467536,"score_spread":0.2186596568666733,"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."}}