{"id":"W2799606185","doi":"10.1016/j.chroma.2018.04.044","title":"Sol-gel based biogenic silica composite as green nanosorbent for chemometric optimization of micro-solid-phase extraction of beta blockers","year":2018,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Deanship of Scientific Research, King Saud University; World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Extraction (chemistry); Solid phase extraction; Silica gel; BETA (programming language); Phase (matter); Composite number; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005135143,0.0002532832,0.0006622789,0.0006697903,0.00007592527,0.00001924208,0.0003732755,0.0002272754,0.0004963847],"category_scores_gemma":[0.000193118,0.0002383727,0.0007338669,0.00102076,0.0002731318,0.0001254862,0.00003867822,0.0001875323,0.00000116364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009351959,"about_ca_system_score_gemma":0.0002336337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131385,"about_ca_topic_score_gemma":5.096191e-7,"domain_scores_codex":[0.9975354,0.00003833218,0.001336238,0.0002406222,0.0005695969,0.0002797889],"domain_scores_gemma":[0.9963213,0.0003329683,0.001796786,0.0003061597,0.001026289,0.0002164884],"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":[0.0007138597,0.0008025751,0.001554906,0.0005962794,0.0006051401,0.000006398124,0.0000722888,0.0001608894,0.9943946,0.000004583955,0.0002684154,0.0008200899],"study_design_scores_gemma":[0.003206092,0.0003997286,0.0002180601,0.0002881141,0.0004380034,0.0001054584,0.00007242518,0.004605147,0.9896563,0.0000727589,0.0007214804,0.0002164407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8680258,0.0005471606,0.1301684,0.0003156172,0.0001159923,0.0001739001,0.00007894445,0.00002527953,0.0005489517],"genre_scores_gemma":[0.7580863,0.00006197248,0.2415689,0.00003705194,0.0001509858,0.000005389084,0.00002509273,0.00003193333,0.00003241503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114005,"threshold_uncertainty_score":0.9720558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926028564646297,"score_gpt":0.3377222190922554,"score_spread":0.3184619334457924,"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."}}