{"id":"W1650569473","doi":"10.1016/j.chemosphere.2015.08.019","title":"Ecotoxicogenomics: Microarray interlaboratory comparability","year":2015,"lang":"en","type":"article","venue":"Chemosphere","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Biology; Transcriptome; Microarray; Repeatability; Microarray analysis techniques; RNA; Computational biology; Gene expression; Gene; Genetics; Chromatography; Chemistry","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":[0.0001573464,0.0001290621,0.0001177595,0.000004926765,0.00003816381,0.00001415948,0.000247495,0.0001670721,0.00004497111],"category_scores_gemma":[0.0000361672,0.0001262443,0.00006405739,0.00006450792,0.0001249621,0.000001701683,0.0001143488,0.00008290094,0.00006187561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002752652,"about_ca_system_score_gemma":0.0001020257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008049507,"about_ca_topic_score_gemma":0.00002114447,"domain_scores_codex":[0.9992517,0.00003267815,0.0001577626,0.0003398439,0.00004787304,0.0001701007],"domain_scores_gemma":[0.9991555,0.000002680296,0.00005404995,0.0005369949,0.0001162313,0.0001345331],"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":[0.00003875533,0.00008558885,0.00449865,0.000006545614,0.00002467439,0.000001095914,0.00002856107,0.000007395809,0.9521033,0.0001940293,0.04066652,0.002344839],"study_design_scores_gemma":[0.0002325439,0.00008041372,0.0002502879,0.000002287045,0.000005556107,0.00000929589,0.00007524401,0.00001606708,0.6006424,0.0002946423,0.3982521,0.0001391665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766731,0.001238875,0.01096323,0.0002356364,0.00008107774,0.0002429216,0.00002436135,0.00005340281,0.01048743],"genre_scores_gemma":[0.9887841,0.00003023698,0.009505566,0.0007034836,0.0001300024,0.00006461533,0.0001623077,0.00002016487,0.000599551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3575856,"threshold_uncertainty_score":0.5148094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026344546295641,"score_gpt":0.2692113799934773,"score_spread":0.2489479345305209,"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."}}