{"id":"W3197338027","doi":"10.17504/protocols.io.bxvwpn7e","title":"FindingNemo Extraction 4: Circulomics Kit v1","year":2021,"lang":"en","type":"preprint","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Minion; Protocol (science); DNA extraction; DNA sequencer; Nanopore sequencing; Computer science; DNA sequencing; DNA; Computational biology; Homogeneous; Extraction (chemistry); Biology; Chromatography; Chemistry; Mathematics; Genetics; Polymerase chain reaction; Medicine; 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":[0.001685568,0.002377817,0.002199132,0.002036061,0.00119859,0.001826297,0.002183454,0.00143732,0.02849281],"category_scores_gemma":[0.002804795,0.001530817,0.001188249,0.0009328194,0.0007773923,0.0008565232,0.002104417,0.003484199,0.05526298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447509,"about_ca_system_score_gemma":0.001147612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006273091,"about_ca_topic_score_gemma":0.001266405,"domain_scores_codex":[0.9979868,0.0002713238,0.0002420363,0.0005641139,0.0006459412,0.0002899471],"domain_scores_gemma":[0.9989803,0.0002472181,0.00008367904,0.0003941031,0.0001869807,0.0001076028],"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":[0.0005664603,0.0001594722,0.000789925,0.00189295,0.0001130267,0.0004347858,0.0004710449,0.0003527546,0.8778913,0.003289352,0.05588878,0.05815006],"study_design_scores_gemma":[0.00009109033,0.00021994,0.001534959,0.0001622338,0.00008123064,0.0008571728,0.00004554653,0.001090009,0.5943982,0.001457165,0.3999709,0.00009162187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03342089,0.005038581,0.7696509,0.0009250314,0.001553798,0.006598921,0.05532579,0.09590342,0.03158264],"genre_scores_gemma":[0.05932312,0.003805432,0.6050642,0.00198396,0.0003818505,0.01520835,0.1948158,0.04823405,0.07118333],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02849281,"threshold_uncertainty_score":0.09531796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111183228726353,"score_gpt":0.3174426316785818,"score_spread":0.3063243088059465,"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."}}