{"id":"W1990830768","doi":"10.1016/j.exphem.2013.05.119","title":"Profiling of microrna expression involved in iPSC generation, maintenance and differentiation using a high throughput, LNA™-enhanced qPCR method","year":2013,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"microRNA; Profiling (computer programming); Throughput; Gene expression profiling; Computational biology; Biology; Gene expression; Computer science; Genetics; Gene; Telecommunications; Operating system; Wireless","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":[0.001046372,0.0006212466,0.0007198307,0.0006990916,0.0004690762,0.0007734254,0.0004174801,0.0004653464,0.001212733],"category_scores_gemma":[0.001014249,0.0004953105,0.0007421025,0.0006614408,0.0004821185,0.0004412613,0.0003093507,0.00127466,0.0008507477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005112747,"about_ca_system_score_gemma":0.0007252448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004697689,"about_ca_topic_score_gemma":0.00130712,"domain_scores_codex":[0.9988691,0.0001525346,0.0001125372,0.0003190156,0.0004226909,0.0001241113],"domain_scores_gemma":[0.9995309,0.0001891541,0.00006431362,0.00004182812,0.0001422391,0.00003155654],"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":[0.00007519275,0.00002110115,0.0002584249,0.00004643845,0.000008092351,0.00001205455,0.00004003932,0.0001279352,0.9974541,0.0001606021,0.00007493403,0.001721148],"study_design_scores_gemma":[0.00001354374,0.0001639873,0.003529989,0.00001049789,0.00005800572,0.0000771733,0.000029359,0.002948099,0.9904196,0.0001111554,0.002622934,0.000015764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6393737,0.003326083,0.3386784,0.0003552577,0.000320749,0.001019031,0.008193356,0.001343191,0.007390227],"genre_scores_gemma":[0.5502307,0.00289748,0.4162547,0.0007766554,0.000112761,0.003363085,0.01154608,0.000456499,0.01436212],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001212733,"threshold_uncertainty_score":0.005533814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915127810040852,"score_gpt":0.2628236885265208,"score_spread":0.2436724104261123,"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."}}