{"id":"W4248294406","doi":"10.21203/rs.3.rs-646865/v1","title":"High-throughput Sequencing for Species Authentication and Contamination Detection of 63 Cell Lines","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Metagenomics; Cell culture; Biology; Cytochrome c oxidase subunit I; Genome; Computational biology; Contamination; DNA sequencing; Authentication (law); Virology; Gene; Genetics; Mitochondrial DNA; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001197904,0.0006446614,0.0007727469,0.001174628,0.0006262515,0.0007562026,0.0003439637,0.0006241436,0.001471893],"category_scores_gemma":[0.002405781,0.0002953637,0.001018014,0.001051316,0.0003234303,0.0002683892,0.0006299404,0.0007211438,0.001786937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003881606,"about_ca_system_score_gemma":0.0005016943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002129231,"about_ca_topic_score_gemma":0.003650176,"domain_scores_codex":[0.998745,0.0002416166,0.0001011464,0.000213979,0.000567005,0.0001312457],"domain_scores_gemma":[0.9986064,0.0004017371,0.0001430074,0.0003209344,0.0004259222,0.0001020855],"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":[0.0000921512,0.00002950041,0.001976554,0.00005247803,0.00002255479,0.00007109337,0.0001101298,0.0002303291,0.9910331,0.0000786463,0.0002791888,0.006024175],"study_design_scores_gemma":[0.00005295447,0.0006616634,0.06039335,0.00006237795,0.0001943283,0.0006078024,0.0003176399,0.01063874,0.9031482,0.0006536016,0.02321466,0.00005458684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8008578,0.001543659,0.1707937,0.0003642922,0.0002180547,0.0009287808,0.01798472,0.00209295,0.005215964],"genre_scores_gemma":[0.7550151,0.001506247,0.1887486,0.000391116,0.0001008869,0.0009633608,0.04747843,0.000926021,0.004870176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002129231,"threshold_uncertainty_score":0.006335199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300608653763427,"score_gpt":0.3524162215802203,"score_spread":0.2223553562038776,"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."}}