{"id":"W4400617263","doi":"10.1016/j.talanta.2024.126567","title":"Quantitative detection of pre-ovulatory luteinizing hormone surges in urine using the microfluidic vertical agitation approach","year":2024,"lang":"en","type":"article","venue":"Talanta","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ovulation; Chemistry; Luteinizing hormone; Urine; Biosensor; Hormone; Chromatography; Biochemistry","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":[0.0003451402,0.00007676628,0.0001132382,0.00001595722,0.00006352262,0.00003091251,0.00008215705,0.00004849223,0.0000165971],"category_scores_gemma":[0.00005383204,0.00002460182,0.00005037466,0.000331581,0.00007089481,0.0001010269,0.00003933673,0.0001254272,0.000002580276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002390431,"about_ca_system_score_gemma":0.000005290762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002554849,"about_ca_topic_score_gemma":0.00002324041,"domain_scores_codex":[0.9993048,0.0001243094,0.000156773,0.0001625287,0.0001106262,0.0001409229],"domain_scores_gemma":[0.9995028,0.0004028196,0.00002178264,0.0000226715,0.00002310995,0.00002675551],"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":[0.00005450737,0.0000492056,0.0002951908,0.00001784138,0.00001027473,0.000004529589,0.0001257091,0.00002178,0.9927865,0.0002083451,0.00006446992,0.006361612],"study_design_scores_gemma":[0.0002975607,0.0007646891,0.3036914,0.0001315865,0.00006904904,0.00003332337,0.00106569,0.06690697,0.624911,0.0007588078,0.001054032,0.0003158972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955652,0.003750167,0.00009598351,0.0001705225,0.00007940164,0.0001635432,0.00000953269,0.0000331087,0.000132494],"genre_scores_gemma":[0.9996901,0.0001640995,0.0000166242,0.00003909046,0.00006045064,0.000008085854,0.00001052604,8.37928e-7,0.00001018665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3678756,"threshold_uncertainty_score":0.1003233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04195125056605635,"score_gpt":0.2856722995479987,"score_spread":0.2437210489819423,"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."}}