{"id":"W4309980032","doi":"","title":"Data Science for Detection of Genome Editing.","year":2022,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"Laboratory Directed Research and Development; National Nuclear Security Administration; Sandia National Laboratories; U.S. Department of Energy","keywords":"Computer science; Data science","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":[0.005244113,0.003556358,0.002230026,0.005477274,0.0009508537,0.004786107,0.00505175,0.003005569,0.2593616],"category_scores_gemma":[0.01892726,0.001626732,0.00173979,0.005612407,0.0008681088,0.005861708,0.004208141,0.003113806,0.2310325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421811,"about_ca_system_score_gemma":0.002767287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937486,"about_ca_topic_score_gemma":0.004229798,"domain_scores_codex":[0.996444,0.000664333,0.0005164578,0.0008141169,0.001249764,0.0003113146],"domain_scores_gemma":[0.9905861,0.003882381,0.0005281576,0.003008822,0.001362585,0.0006318428],"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":[0.0006272396,0.00009747242,0.0009826778,0.001722653,0.00009782088,0.0001918574,0.000115703,0.0009670845,0.005123921,0.006009605,0.9349727,0.04909128],"study_design_scores_gemma":[0.0005946218,0.0001343658,0.003111267,0.00041794,0.00007078674,0.0003408838,0.000150034,0.01551377,0.01793573,0.01983436,0.9417729,0.0001233005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007434128,0.0001870502,0.06305048,0.0009418478,0.0002749953,0.0004030956,0.7168465,0.2014381,0.01611449],"genre_scores_gemma":[0.007677354,0.0002176043,0.03253091,0.0004445227,0.0000770967,0.0006889513,0.9322407,0.01513418,0.0109887],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2593616,"threshold_uncertainty_score":0.8676511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236389463111866,"score_gpt":0.2841149790357647,"score_spread":0.2604760327245781,"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."}}