{"id":"W1969622546","doi":"10.1016/j.clinbiochem.2005.04.001","title":"Pitfalls of immunoassay and sample for IGF-I: Comparison of different assay methodologies using various fresh and stored serum samples","year":2005,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Growth Hormone and Insulin-like Growth Factors","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Immunoassay; Protease; Proteolysis; Insulin-like growth factor; Chromatography; Chemistry; Biology; Internal medicine; Andrology; Medicine; Immunology; Growth factor; Enzyme; Biochemistry; Antibody","routes":{"ca_aff":true,"ca_fund":false,"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":[0.06316054,0.001547887,0.002051993,0.002290119,0.001380052,0.003118434,0.002942233,0.00313267,0.0007677824],"category_scores_gemma":[0.0667615,0.001531027,0.0009574604,0.00159329,0.006671712,0.001337308,0.001389308,0.003089586,0.001528067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112413,"about_ca_system_score_gemma":0.001669145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700065,"about_ca_topic_score_gemma":0.006591617,"domain_scores_codex":[0.9301245,0.03370799,0.004367358,0.004755683,0.02606481,0.0009796695],"domain_scores_gemma":[0.9471678,0.03713463,0.002814863,0.005095878,0.007163595,0.0006232511],"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":[0.009622149,0.001482535,0.08906262,0.004152406,0.002126665,0.001585554,0.008147166,0.002514014,0.5888464,0.006851171,0.01464774,0.2709615],"study_design_scores_gemma":[0.0007341833,0.006090641,0.1030144,0.001904132,0.001806834,0.01198265,0.003766604,0.0135205,0.8002948,0.009522885,0.04695774,0.0004046557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4908476,0.06074571,0.4102002,0.01288783,0.01054651,0.001540315,0.001150615,0.004227105,0.007854144],"genre_scores_gemma":[0.6518893,0.01189732,0.3151874,0.01178086,0.001568536,0.001214868,0.00104345,0.001099537,0.004318737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06316054,"threshold_uncertainty_score":0.3340288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166030725650373,"score_gpt":0.4320730029875026,"score_spread":0.2660422773371296,"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."}}