{"id":"W2029121719","doi":"10.1016/j.clinbiochem.2012.10.030","title":"Evaluation of digital images for identification and characterization of monoclonal immunoglobulins by immunofixation","year":2012,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Immunofixation; Monoclonal; Low resolution; Agarose; Artificial intelligence; Digital image; Monoclonal antibody; High resolution; Computer science; Medicine; Antibody; Chemistry; Image (mathematics); Image processing; Chromatography; Immunology; Geography","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":[0.0008884455,0.0004547988,0.0002088287,0.004019177,0.0002895896,0.0004605839,0.0003644106,0.0006745639,0.006696117],"category_scores_gemma":[0.001453942,0.0002401899,0.0002398464,0.0008824201,0.0003954494,0.0005556218,0.0003252655,0.0005412427,0.0008121898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428204,"about_ca_system_score_gemma":0.0002900641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009510493,"about_ca_topic_score_gemma":0.001206555,"domain_scores_codex":[0.9997503,0.00004604382,0.00003120718,0.00002698693,0.00009869207,0.00004677234],"domain_scores_gemma":[0.9989729,0.000369674,0.00009859116,0.00008135854,0.0003955251,0.00008194473],"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":[0.001333523,0.0001676615,0.008521771,0.0005124207,0.00005413447,0.001813055,0.0002247306,0.0002217858,0.9269292,0.0006289894,0.0006290008,0.05896384],"study_design_scores_gemma":[0.00009539244,0.0007213153,0.08937568,0.0001561709,0.0002224109,0.01426205,0.0005859028,0.005762287,0.88089,0.0008890871,0.006979629,0.0000602063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820242,0.00561945,0.09145776,0.0007916285,0.0001910596,0.0005566441,0.001242417,0.001021458,0.01709549],"genre_scores_gemma":[0.8705332,0.004241567,0.11741,0.0004195317,0.00006660225,0.0003041639,0.0007417441,0.000182306,0.006100821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006696117,"threshold_uncertainty_score":0.02240068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.074330256710185,"score_gpt":0.4177998276640114,"score_spread":0.3434695709538264,"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."}}