{"id":"W4308588415","doi":"10.17504/protocols.io.x54v9dd3pg3e/v1","title":"Quantification-Protocol-miRNA-SCALONMC v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"microRNA; Fluorometer; Protocol (science); RNA; Molecular biology; Chromatography; RNA extraction; Dilution; Chemistry; Computational biology; Biology; Genetics; Medicine; Gene; Pathology; Fluorescence; Physics","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":[0.005261896,0.005359436,0.005630394,0.005699235,0.0023204,0.003056035,0.004492708,0.003059719,0.08758271],"category_scores_gemma":[0.00595099,0.004151573,0.002745186,0.003538125,0.002153888,0.002208494,0.003157603,0.007506168,0.1018385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592041,"about_ca_system_score_gemma":0.002747682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111973,"about_ca_topic_score_gemma":0.001749844,"domain_scores_codex":[0.9901786,0.001823907,0.001010041,0.003348509,0.002909676,0.0007292256],"domain_scores_gemma":[0.9973577,0.0008223371,0.0001661834,0.0008803022,0.0006376051,0.0001358701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001481744,0.0005997759,0.002357504,0.007193335,0.0005653983,0.0007648387,0.0008128853,0.003110053,0.7347079,0.01489015,0.1404344,0.0930821],"study_design_scores_gemma":[0.0001688097,0.0003767073,0.001725163,0.0004052873,0.0002242238,0.001029256,0.00007275456,0.005969739,0.4964716,0.005812322,0.4874464,0.0002975981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.008502575,0.003790897,0.8404283,0.0005060437,0.001335967,0.008719528,0.0533662,0.0617223,0.02162812],"genre_scores_gemma":[0.01717101,0.002381448,0.7487071,0.001524441,0.0003542214,0.03382701,0.1204522,0.03182282,0.0437598],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.08758271,"threshold_uncertainty_score":0.2929934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404879993398721,"score_gpt":0.3167745786677874,"score_spread":0.2927257787338001,"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."}}