{"id":"W2620991996","doi":"10.5539/jfr.v6n4p34","title":"Effectual Gold Nanoprobe Sensor for Screening Horse Adulteration in Meat Products","year":2017,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bijzonder Onderzoeksfonds UGent","keywords":"Colloidal gold; Nanoprobe; Chemistry; Oligonucleotide; Conjugated system; Food science; Chromatography; Nanoparticle; DNA; Materials science; Nanotechnology; Biochemistry; Organic chemistry; Polymer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00200084,0.00007174298,0.0001184499,0.0001858553,0.000253452,0.0001956584,0.0003697781,0.00009732466,0.000004275898],"category_scores_gemma":[0.002528787,0.00006204836,0.00007044508,0.00007868647,0.0001019264,0.00002045165,0.00006138372,0.0002073815,0.00000566601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001469627,"about_ca_system_score_gemma":0.00009387163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005054575,"about_ca_topic_score_gemma":0.00004003403,"domain_scores_codex":[0.9987552,0.0001737463,0.0003272349,0.000199001,0.0003349238,0.0002099148],"domain_scores_gemma":[0.9979159,0.00004257742,0.0002515994,0.0004233252,0.001302945,0.00006361245],"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":[0.0003168582,0.00008425565,0.0004772219,0.00005050945,0.00003401302,0.000001582711,0.00008945018,0.00001813486,0.987661,0.0002877034,0.006881131,0.004098142],"study_design_scores_gemma":[0.001041908,0.0009326672,0.00450481,0.00005898394,0.000005644763,0.00002484053,0.00008253781,0.0001071948,0.9713293,0.00004999651,0.02178535,0.00007676011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946451,0.000259528,0.00208007,0.002103593,0.0002747532,0.0004211038,0.000009667048,0.000001970165,0.0002042718],"genre_scores_gemma":[0.9956613,0.00007089816,0.002069029,0.00002109117,0.0005323455,0.00002172856,0.00001915996,0.00001357851,0.001590862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01633169,"threshold_uncertainty_score":0.3027377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1386335003975958,"score_gpt":0.4151572203104595,"score_spread":0.2765237199128636,"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."}}