{"id":"W2524140413","doi":"","title":"ANALYSIS OF REPETITIVE DNA BY FLOW CYTOMETRY USING CHROMOSOME FLOW FISH","year":2011,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Terry Fox Research Institute","funders":"","keywords":"Fish <Actinopterygii>; Flow cytometry; Flow (mathematics); Chromosome; Biology; Genetics; Fishery; Mechanics; Physics; Gene","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":[0.0005271334,0.0003240936,0.0003382926,0.0009965531,0.000596193,0.0007111012,0.0005789439,0.0005281762,0.004223482],"category_scores_gemma":[0.0006439317,0.0002380684,0.000374529,0.0004648721,0.000449436,0.0007973493,0.0004831375,0.0007459451,0.001621006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365991,"about_ca_system_score_gemma":0.0004693882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514948,"about_ca_topic_score_gemma":0.003068983,"domain_scores_codex":[0.999746,0.00003076544,0.00001865723,0.0001009495,0.00006563024,0.00003786892],"domain_scores_gemma":[0.9996557,0.0001398016,0.00003890909,0.00007937272,0.00006137813,0.00002475411],"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":[0.00005346034,0.00001075533,0.0003250201,0.0000317124,0.000005082649,0.00002170706,0.00002556483,0.0001514004,0.9941713,0.0008180016,0.00003843053,0.00434759],"study_design_scores_gemma":[0.00002165501,0.0001161203,0.003526711,0.000009105922,0.00002314835,0.0002322625,0.00005026292,0.00671689,0.984274,0.0008317619,0.004185175,0.00001293134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5336078,0.001292557,0.448239,0.0003373852,0.0001001618,0.0003517297,0.002085157,0.002079444,0.01190663],"genre_scores_gemma":[0.6415426,0.001790938,0.3416181,0.0002141362,0.00003409381,0.0004679316,0.002414995,0.0003935842,0.01152349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004223482,"threshold_uncertainty_score":0.01412898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726114713036774,"score_gpt":0.2519700490500067,"score_spread":0.224708901919639,"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."}}