{"id":"W2414836479","doi":"","title":"Flow-through microarrays for rapid biomarker testing.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Axela (Canada)","funders":"","keywords":"Biomarker; Computational biology; Biology; Genetics","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":[0.001417566,0.0009766109,0.0006989897,0.001250512,0.0004803215,0.0008964126,0.001058494,0.001397073,0.01811243],"category_scores_gemma":[0.001701131,0.0005741278,0.0003611062,0.0007567558,0.0003990809,0.001552688,0.0005545758,0.00129432,0.009442019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004544487,"about_ca_system_score_gemma":0.0006045841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004725918,"about_ca_topic_score_gemma":0.001400244,"domain_scores_codex":[0.9990889,0.0002547091,0.00004457459,0.000141174,0.0003925904,0.00007810545],"domain_scores_gemma":[0.9994326,0.000314559,0.00005600889,0.00004557131,0.0001134292,0.0000377932],"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":[0.0002507119,0.0001074831,0.0001572233,0.001333278,0.00004101892,0.00008313968,0.00005385941,0.0001909719,0.8872654,0.004950222,0.02285055,0.08271618],"study_design_scores_gemma":[0.0000821193,0.0004365033,0.0008107065,0.0001638385,0.00005939743,0.0004431143,0.00004163668,0.003510043,0.8477747,0.002803245,0.1438291,0.00004548182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05060989,0.1088348,0.7504906,0.005227549,0.006127758,0.002333657,0.01086479,0.01190765,0.05360328],"genre_scores_gemma":[0.1508126,0.08224759,0.6594118,0.003958717,0.001222906,0.003049342,0.01205255,0.0005006866,0.08674377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01811243,"threshold_uncertainty_score":0.06059206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04058614800489792,"score_gpt":0.2565939097475002,"score_spread":0.2160077617426023,"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."}}