{"id":"W4378087038","doi":"10.3390/polym15112424","title":"Silver Nanoparticle-Embedded Conductive Hydrogels for Electrochemical Sensing of Hydroquinone","year":2023,"lang":"en","type":"article","venue":"Polymers","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Materials science; Self-healing hydrogels; Hydroquinone; Carboxymethyl cellulose; Chemical engineering; Polypyrrole; Anode; Nanoparticle; Electrochemistry; Electrode; Inorganic chemistry; Polymer; Polymer chemistry; Nanotechnology; Sodium; Chemistry; Polymerization; Organic chemistry; Composite material; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007335311,0.0001621614,0.0002545868,0.00008102069,0.00003677473,0.000008089614,0.00008374813,0.0001041617,0.00003255095],"category_scores_gemma":[0.00005053665,0.0001595729,0.0001235993,0.0004348288,0.00007709862,0.00005070678,0.00001663851,0.0001045384,0.0000343655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130978,"about_ca_system_score_gemma":0.00001144964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008221162,"about_ca_topic_score_gemma":0.000001429002,"domain_scores_codex":[0.9988797,0.00001141854,0.0002428007,0.0001943944,0.0001428745,0.0005288267],"domain_scores_gemma":[0.9995354,0.0001469659,0.00003448896,0.0001463742,0.00003438524,0.000102359],"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":[0.00003771123,0.00001042865,0.00001280341,0.00003842761,0.00007085314,0.00000231443,0.0001515866,0.0001492896,0.9976755,0.00005743688,0.0007721093,0.001021476],"study_design_scores_gemma":[0.0003759318,0.00005530048,0.00001005086,0.00001388645,0.00003108224,0.000006986796,0.00009104535,0.03409085,0.9645161,0.0002782662,0.0003431715,0.0001873272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981311,0.0002164897,0.0001762332,0.00009626398,0.00009539833,0.0001727105,0.00001148007,0.0003585063,0.0007418114],"genre_scores_gemma":[0.9991207,0.0000238746,0.0004444793,0.00004142689,0.00006837797,0.000004189431,0.00002305701,0.00004402309,0.0002299294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03394156,"threshold_uncertainty_score":0.6507192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151751716261032,"score_gpt":0.2289957168633258,"score_spread":0.2174781997007155,"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."}}