{"id":"W2952665327","doi":"10.1002/chin.200634043","title":"Polyionic Gels: Efficient Heterogeneous Media for Metal Scavenging and Catalysis.","year":2006,"lang":"en","type":"article","venue":"ChemInform","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Chemistry; Scavenging; Catalysis; Metal; Combinatorial chemistry; Nanotechnology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482202,0.0006421161,0.0001267078,0.0004625215,0.0002333271,0.0004982017,0.0004179241,0.0003123438,0.002485739],"category_scores_gemma":[0.0003274731,0.0002250118,0.0001238371,0.0002121603,0.0002466556,0.0006500541,0.0004263806,0.000473037,0.001108365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239733,"about_ca_system_score_gemma":0.0002056202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004355691,"about_ca_topic_score_gemma":0.001008986,"domain_scores_codex":[0.9998517,0.00002916223,0.000007080552,0.00002593085,0.00006094322,0.00002527871],"domain_scores_gemma":[0.9998881,0.00003946426,0.00002845107,0.000007594282,0.00001755635,0.0000188699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008355341,0.00001676778,0.00003637847,0.0002378633,0.000009235161,0.00009781648,0.0000313466,0.00009412663,0.9880826,0.0007070169,0.0009040345,0.009699309],"study_design_scores_gemma":[0.00001213156,0.00008974174,0.0001380156,0.00002038976,0.00001725368,0.0001589406,0.00002216913,0.0005146438,0.987911,0.0001362772,0.01097228,0.000007101929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7105664,0.1069779,0.08820215,0.002127756,0.001298609,0.0006299025,0.001978136,0.002530433,0.08568867],"genre_scores_gemma":[0.9178588,0.02099332,0.02137696,0.0002440067,0.0001897099,0.0001990154,0.000835117,0.0001941391,0.03810896],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002485739,"threshold_uncertainty_score":0.008315682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199841436527271,"score_gpt":0.2400446061071306,"score_spread":0.2280461917418579,"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."}}