{"id":"W2168020014","doi":"10.1126/scitranslmed.3000105","title":"Droplet-Scale Estrogen Assays in Breast Tissue, Blood, and Serum","year":2009,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto; University of New Brunswick; Ontario Institute for Cancer Research; Canada Research Chairs","funders":"Canadian Institutes of Health Research","keywords":"Estrogen; Breast tissue; Biomedical engineering; Solvent extraction; Extraction (chemistry); Medicine; Chemistry; Chromatography; Pathology; Endocrinology; Internal medicine; Breast cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005298824,0.0002637031,0.0002107864,0.0003383645,0.0001791926,0.0002493364,0.0004172612,0.0003281723,0.0007585269],"category_scores_gemma":[0.0008429817,0.000138604,0.0001639724,0.0002544534,0.0002275114,0.000205732,0.0002801447,0.000292745,0.000430346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229631,"about_ca_system_score_gemma":0.0002476946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000519346,"about_ca_topic_score_gemma":0.0008956766,"domain_scores_codex":[0.9996713,0.00005793764,0.00002804517,0.00009115078,0.0001265617,0.00002507569],"domain_scores_gemma":[0.9997602,0.0001058496,0.00003647021,0.00002666076,0.00005170586,0.00001907435],"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":[0.00005773815,0.00002956678,0.0006401553,0.00006354359,0.00001087848,0.00004276171,0.00002765212,0.0002016528,0.9914826,0.000330243,0.0002797849,0.006833434],"study_design_scores_gemma":[0.00002596734,0.0002201611,0.001972628,0.00001158663,0.00001957228,0.0002291926,0.00002996083,0.004200023,0.9879587,0.0003776239,0.004941486,0.00001321303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5403721,0.008962896,0.4360879,0.0008307701,0.0006476551,0.0008675468,0.003157024,0.001334384,0.007739631],"genre_scores_gemma":[0.6767737,0.006054863,0.3062716,0.0006933869,0.0001592178,0.0009907362,0.002456887,0.00007584631,0.006523727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007585269,"threshold_uncertainty_score":0.002802312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004400544942592358,"score_gpt":0.2236890008603465,"score_spread":0.2192884559177541,"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."}}