{"id":"W3127818812","doi":"","title":"Results of An International Study of Quantitative BCR/ABL Assays Using Defined RNA Samples","year":2010,"lang":"en","type":"article","venue":"IRIS","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; BC Cancer Agency","funders":"","keywords":"RNA; Computational biology; Computer science; Biology; Genetics; 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":[0.02371643,0.001104944,0.0005487907,0.002347769,0.0006459912,0.001690361,0.0007346453,0.0008750015,0.003383258],"category_scores_gemma":[0.0201179,0.0002654013,0.000618286,0.003160811,0.001370892,0.000743627,0.0012306,0.001046372,0.001495737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007616444,"about_ca_system_score_gemma":0.0007816916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007946994,"about_ca_topic_score_gemma":0.0007319786,"domain_scores_codex":[0.9749227,0.01113383,0.002214039,0.004347918,0.006547561,0.0008340048],"domain_scores_gemma":[0.9654641,0.01460645,0.003466296,0.004622298,0.01076704,0.001073878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007744101,0.002714461,0.3437096,0.002991457,0.001116531,0.0006968079,0.007473573,0.001663497,0.3166902,0.01005603,0.008168686,0.2969749],"study_design_scores_gemma":[0.0002723665,0.005686386,0.6169628,0.0006678701,0.001161751,0.00199532,0.003677109,0.001946958,0.2620873,0.002420311,0.1029847,0.0001371983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346671,0.01596772,0.09535418,0.002188346,0.001119172,0.001722632,0.009400132,0.0009163491,0.1386644],"genre_scores_gemma":[0.9467861,0.002525558,0.03284793,0.001220527,0.0002129273,0.001263986,0.005547241,0.0003579548,0.009237712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371643,"threshold_uncertainty_score":0.125426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04153391949035891,"score_gpt":0.3600967101228075,"score_spread":0.3185627906324486,"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."}}