{"id":"W6930290406","doi":"10.5281/zenodo.12112237","title":"Iso 10456 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adobe; Download; German; European union; Typeface; Cover (algebra); Member states","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002089104,0.002350605,0.00148493,0.006094834,0.001781758,0.009569088,0.0041725,0.003226841,0.8067588],"category_scores_gemma":[0.007189968,0.001370065,0.001476979,0.004763405,0.001107548,0.007177718,0.003177813,0.002657489,0.8192763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259697,"about_ca_system_score_gemma":0.003231108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823302,"about_ca_topic_score_gemma":0.004684801,"domain_scores_codex":[0.9970263,0.0001547978,0.0001944846,0.0002768875,0.002128783,0.0002187887],"domain_scores_gemma":[0.9931832,0.0003840935,0.0001943523,0.0007205209,0.005038386,0.0004794548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008750144,0.00006584598,0.00006977249,0.0005535507,0.000006211623,0.00008132715,0.00004858605,0.0002083771,0.002084233,0.005211788,0.8531187,0.1384641],"study_design_scores_gemma":[0.000008704566,0.00001989077,0.0001331491,0.00008829984,0.000003749361,0.00006367397,0.00002454352,0.00005081283,0.0007256209,0.0006314226,0.9982411,0.000009135051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003327279,0.001172956,0.005673212,0.0006072657,0.002741944,0.000376727,0.008835428,0.006754247,0.9735054],"genre_scores_gemma":[0.00171561,0.001426823,0.00280266,0.0005270142,0.0004535531,0.0001771731,0.008945717,0.002910045,0.9810414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1932412,"threshold_uncertainty_score":0.2756351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498534710927641,"score_gpt":0.2395269342116602,"score_spread":0.2245415871023838,"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."}}