{"id":"W2077304691","doi":"10.1080/03601230903472090","title":"Development of competitive ELISAs for 17β-estradiol and 17β-estradiol +estrone+estriol using rabbit polyclonal antibodies","year":2010,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part B","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Estriol; Estrone; Polyclonal antibodies; Estrogen; Chemistry; Antibody; Estradiol valerate; Hormone; Cross-reactivity; Endocrinology; Chromatography; Internal medicine; Biology; Biochemistry; Cross reactions; Immunology; Medicine","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":[0.005256165,0.006381294,0.003092024,0.002675981,0.0005947996,0.001223669,0.003460648,0.003234629,0.003335986],"category_scores_gemma":[0.004972733,0.003494417,0.002514149,0.002210751,0.0007081837,0.001287458,0.00160777,0.003106704,0.004904863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025469,"about_ca_system_score_gemma":0.0008271581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008505601,"about_ca_topic_score_gemma":0.001561447,"domain_scores_codex":[0.9908934,0.002516041,0.00103088,0.002205926,0.001877359,0.001476511],"domain_scores_gemma":[0.9946308,0.002006286,0.0006492357,0.0004905909,0.001878592,0.0003444443],"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":[0.000259975,0.0002840373,0.0004329018,0.0005588558,0.0001337238,0.00009265814,0.0000682543,0.0002059598,0.9913731,0.0002029114,0.0002087727,0.006178909],"study_design_scores_gemma":[0.0002569934,0.003250323,0.003991743,0.0001716347,0.0003648978,0.001092816,0.00008929447,0.007355636,0.9719262,0.0003308743,0.01106961,0.0001000314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3983385,0.03111703,0.5475107,0.000589792,0.001193295,0.004593515,0.001474065,0.004335995,0.01084707],"genre_scores_gemma":[0.3580405,0.02184442,0.5777237,0.001233171,0.0006529649,0.01063559,0.01062826,0.0006042204,0.01863727],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006381294,"threshold_uncertainty_score":0.02779758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787038774127988,"score_gpt":0.3256812315522514,"score_spread":0.2878108438109715,"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."}}