{"id":"W2523893120","doi":"","title":"Development and optimization of a protocol for automated, low-throughput RNA purification from whole blood using the PAXgene blood RNA system","year":2007,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RNA; RNA extraction; DNA; Whole blood; Nucleic acid; Biology; Molecular biology; Chromatography; Chemistry; Biochemistry; Gene; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004987844,0.002315867,0.001704885,0.002961237,0.001493611,0.001373908,0.001949577,0.001415081,0.01090628],"category_scores_gemma":[0.00436944,0.00174758,0.001805813,0.00185052,0.001406922,0.0009211457,0.001223801,0.002922447,0.01641255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007050282,"about_ca_system_score_gemma":0.002735015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007519818,"about_ca_topic_score_gemma":0.001636006,"domain_scores_codex":[0.9918969,0.001770686,0.001109421,0.001886603,0.002849569,0.0004867544],"domain_scores_gemma":[0.9975905,0.0006760512,0.0002323598,0.0005672124,0.0008060774,0.0001277713],"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":[0.0002756229,0.0002668643,0.000643543,0.000888105,0.00006282039,0.0002779325,0.0002373364,0.0009251937,0.9527346,0.001742913,0.006341591,0.0356035],"study_design_scores_gemma":[0.0001629013,0.001472004,0.00487167,0.0003044679,0.0001517119,0.0009968234,0.00008738677,0.005221731,0.8474649,0.001032832,0.1380111,0.0002224797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03129245,0.002749247,0.925375,0.0004262834,0.0009142542,0.01762333,0.007117463,0.006856882,0.007645141],"genre_scores_gemma":[0.02674401,0.002323326,0.9052377,0.0006358961,0.0002245156,0.02801452,0.02433686,0.001321885,0.01116126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01090628,"threshold_uncertainty_score":0.03648514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434924228340055,"score_gpt":0.5013129238549419,"score_spread":0.3578205010209364,"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."}}