{"id":"W2088556411","doi":"10.1530/rep-10-0191","title":"Microarray analysis of gene expression during early development: a cautionary overview","year":2010,"lang":"en","type":"review","venue":"Reproduction","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Microarray; Biology; Computational biology; Transcriptome; DNA microarray; Benchmarking; Gene chip analysis; Microarray analysis techniques; Computer science; Data science; Gene expression; Bioinformatics; 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":[0.003416411,0.001339723,0.002838643,0.003471342,0.000498323,0.00204381,0.002096827,0.002494538,0.001676437],"category_scores_gemma":[0.003134593,0.0007636652,0.0008041139,0.004413465,0.002207726,0.002815608,0.0009760769,0.004233885,0.004047583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094599,"about_ca_system_score_gemma":0.000986424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066337,"about_ca_topic_score_gemma":0.001378745,"domain_scores_codex":[0.9983042,0.0004354437,0.0002119259,0.0003286688,0.0006643055,0.00005534488],"domain_scores_gemma":[0.9971623,0.001925667,0.0001442166,0.0001520177,0.0005489583,0.00006688478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000115501,0.00007820135,0.0006041892,0.02127687,0.0001603708,0.0006389841,0.000279677,0.0008809609,0.02345148,0.01789448,0.07312597,0.8614933],"study_design_scores_gemma":[0.000009645014,0.00007901624,0.001545165,0.001988165,0.00007442935,0.002329745,0.0001195402,0.0003220644,0.004298307,0.00802652,0.9811587,0.00004865873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002430875,0.9849786,0.008135863,0.002498395,0.001138138,0.00002396083,0.0001167553,0.00009114862,0.002774043],"genre_scores_gemma":[0.001629628,0.9835703,0.008979638,0.001861166,0.00121355,0.00008505752,0.0001697939,0.00003752712,0.002453334],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003471342,"threshold_uncertainty_score":0.0180679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495776533408462,"score_gpt":0.3142691342521173,"score_spread":0.2893113689180327,"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."}}