{"id":"W241779115","doi":"10.1016/j.bios.2015.05.008","title":"Development of quantum dots-based biosensor towards on-farm detection of subclinical ketosis","year":2015,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Dairy Farmers of Ontario","keywords":"Biosensor; Subclinical infection; Detection limit; Quantum dot; Microfluidics; Ketosis; Nicotinamide adenine dinucleotide; Chemistry; Nanotechnology; Materials science; NAD+ kinase; Medicine; Chromatography; Internal medicine; Biochemistry; Endocrinology; Enzyme; Diabetes mellitus","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":[0.0002793777,0.0001816106,0.000234995,0.00006326746,0.0000456125,0.000006431563,0.000123376,0.0002230625,0.000001758331],"category_scores_gemma":[0.00009398463,0.0001536338,0.00008417417,0.0001117967,0.0001705618,0.000001022635,0.00004263661,0.00009487129,0.000001776791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004482,"about_ca_system_score_gemma":0.0003789937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001479795,"about_ca_topic_score_gemma":0.00004187321,"domain_scores_codex":[0.9987758,0.00005718167,0.0003986742,0.0003132651,0.0002017122,0.000253319],"domain_scores_gemma":[0.9992958,0.00001895096,0.0001690593,0.0002467895,0.0001452554,0.0001241092],"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":[0.0009979564,0.0003922562,0.0008475346,0.00006248306,0.0001084459,3.102048e-7,0.0001402898,0.0001357308,0.9282352,0.002991282,0.00005075182,0.06603781],"study_design_scores_gemma":[0.0009687181,0.002978321,0.007571445,0.00001699961,0.00002943335,0.00000352036,0.0001090003,0.0001605902,0.9740573,0.0001498243,0.01374734,0.0002074902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961598,0.0006768025,0.002537869,0.00007438507,0.0001361113,0.0001519508,0.00001951072,0.000009867836,0.0002337151],"genre_scores_gemma":[0.9865294,0.0000609361,0.01315227,0.00007226627,0.00007453036,0.000005516168,0.0000242587,0.00001732751,0.00006353141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06583032,"threshold_uncertainty_score":0.6265004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349648259852595,"score_gpt":0.2772108857868762,"score_spread":0.2437144031883503,"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."}}