{"id":"W2134093135","doi":"10.1186/1472-6750-6-47","title":"Target labelling for the detection and profiling of microRNAs expressed in CNS tissue using microarrays.","year":2006,"lang":"en","type":"article","venue":"BMC Biotechnology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Biology; Microarray; microRNA; DNA microarray; Multiplex; Computational biology; Gene expression profiling; Microarray analysis techniques; Gene chip analysis; Gene expression; Complementary DNA; Gene; Molecular 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001350884,0.00009753185,0.0001108213,0.0000824461,0.00005914445,0.00000709202,0.0001048071,0.0003306585,0.000001659826],"category_scores_gemma":[0.00005213229,0.00008705173,0.0000320066,0.0001080184,0.0001350049,0.00000273504,0.00005696748,0.00006395773,3.286109e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001544598,"about_ca_system_score_gemma":0.00003187424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007899824,"about_ca_topic_score_gemma":0.0001475495,"domain_scores_codex":[0.9993301,0.00002439494,0.0002058948,0.0002424282,0.0000322599,0.0001649317],"domain_scores_gemma":[0.9996002,0.00001977997,0.0001139905,0.0002172305,0.00003852749,0.0000103071],"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":[0.00005679168,0.00002210643,0.0009185743,0.00005318525,0.000008303045,1.997123e-7,0.000005220322,0.0007533571,0.9972224,0.000103083,0.00001072775,0.000846109],"study_design_scores_gemma":[0.0004249069,0.00004930839,0.0007890803,0.00001332555,0.00001499768,0.000009087834,0.00004114976,0.004059812,0.9906673,0.000343957,0.003494873,0.00009220897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7003021,0.003376062,0.2958484,0.00005528526,0.00005017936,0.0003349775,0.00001757166,0.00001119299,0.000004297869],"genre_scores_gemma":[0.9317593,0.00005107411,0.06802636,0.000009419383,0.00006601337,0.00002621026,0.00002570575,0.00001667365,0.00001924061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2314572,"threshold_uncertainty_score":0.3549866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280741731802825,"score_gpt":0.2465834912704211,"score_spread":0.2337760739523928,"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."}}