{"id":"W4308603203","doi":"10.17504/protocols.io.261ge33j7l47/v1","title":"ReverseTranscription-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":"TaqMan; microRNA; Protocol (science); Primer (cosmetics); RNA; Computational biology; Real-time polymerase chain reaction; Biology; Molecular biology; Chemistry; Medicine; Genetics; Gene; Pathology","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":[0.004142194,0.005385523,0.006130098,0.003732635,0.001642698,0.002500409,0.003984334,0.002338345,0.05875408],"category_scores_gemma":[0.002720354,0.003848318,0.003058387,0.003112784,0.001997963,0.001770811,0.002370583,0.00855742,0.08104677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255822,"about_ca_system_score_gemma":0.002817866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009392707,"about_ca_topic_score_gemma":0.001455757,"domain_scores_codex":[0.9916426,0.001788396,0.001081349,0.002765508,0.001935761,0.0007865287],"domain_scores_gemma":[0.9983907,0.0004563032,0.0001125293,0.0006152099,0.0003283774,0.00009696741],"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":[0.001009181,0.0005124033,0.0008248708,0.004195084,0.0002649269,0.0007328106,0.0004370373,0.001185058,0.8822839,0.008068173,0.05132032,0.04916624],"study_design_scores_gemma":[0.00034014,0.0007205629,0.001495723,0.0003376959,0.0002549933,0.001490671,0.00007154728,0.003410865,0.3582883,0.004233047,0.6291066,0.0002497843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.01369421,0.007194573,0.8711593,0.0004630225,0.002885018,0.01467833,0.02911621,0.03541689,0.02539245],"genre_scores_gemma":[0.02392085,0.005293675,0.7349645,0.001253579,0.0005674075,0.03848561,0.1215341,0.01384439,0.06013587],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.05875408,"threshold_uncertainty_score":0.196552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737873391806764,"score_gpt":0.291097906387743,"score_spread":0.2737191724696754,"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."}}