{"id":"W2290471774","doi":"10.3109/19396368.2015.1062578","title":"Quantitative large scale gene expression profiling from human stem cell culture micro samples using multiplex pre-amplification","year":2015,"lang":"en","type":"article","venue":"Systems Biology in Reproductive Medicine","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Bio-Rad (Canada); Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Agence Nationale pour la Gestion des Déchets Radioactifs","keywords":"Induced pluripotent stem cell; Biology; Reprogramming; Multiplex; Gene expression profiling; Stem cell; Computational biology; Embryoid body; Embryonic stem cell; Gene expression; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007813654,0.000917203,0.0006678187,0.001183267,0.0003547448,0.0006645154,0.000452343,0.0004720917,0.001562776],"category_scores_gemma":[0.0006167491,0.0003579855,0.0004716388,0.0009901886,0.000431705,0.0003301055,0.0004444291,0.0007773982,0.001307573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276724,"about_ca_system_score_gemma":0.0005240251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003804889,"about_ca_topic_score_gemma":0.001301614,"domain_scores_codex":[0.9989703,0.0001243847,0.0000661214,0.000294794,0.0004899872,0.00005440804],"domain_scores_gemma":[0.9996279,0.0001608977,0.00005839141,0.00005740302,0.00007800187,0.00001733501],"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":[0.00002596521,0.00001891176,0.0002611527,0.00005639131,0.000008547308,0.00001742012,0.00002607668,0.0001422567,0.9930274,0.00008140166,0.000103701,0.006230833],"study_design_scores_gemma":[0.000004738102,0.0001038322,0.002240896,0.00001065302,0.00002781613,0.00008403261,0.00001852198,0.002090708,0.9919743,0.000236685,0.003193064,0.00001474854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2160139,0.004127031,0.7636394,0.0002379785,0.0001673676,0.0007438269,0.008669228,0.003281754,0.003119489],"genre_scores_gemma":[0.2835499,0.006266437,0.6834595,0.0004870751,0.0001607973,0.003405477,0.01271126,0.0004975251,0.009462064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001562776,"threshold_uncertainty_score":0.005227983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07367053345636211,"score_gpt":0.3637302355601975,"score_spread":0.2900597021038354,"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."}}