{"id":"W2799065786","doi":"10.1101/309302","title":"CRISPRCloud2: A cloud-based platform for deconvolving CRISPR screen data","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of General Medical Sciences; Huffington Foundation; Parkinson's Foundation; Houston Endowment; Cancer Prevention and Research Institute of Texas; Division of Mathematical Sciences; National Science Foundation","keywords":"CRISPR; Computer science; Cloud computing; Prioritization; Visualization; Data mining; Interface (matter); Feature (linguistics); Data science; Operating system; Engineering; Gene; Biology","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":[0.004393867,0.002625176,0.001893869,0.003027895,0.001549957,0.003530162,0.004384182,0.001221811,0.018741],"category_scores_gemma":[0.008662356,0.001253151,0.001994322,0.003167735,0.001101399,0.002684327,0.006159264,0.003497426,0.01458477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309205,"about_ca_system_score_gemma":0.002696148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006747597,"about_ca_topic_score_gemma":0.007142194,"domain_scores_codex":[0.9975393,0.0002916039,0.0002386267,0.0006314603,0.001032154,0.0002667624],"domain_scores_gemma":[0.9947262,0.001432185,0.0004450328,0.001558578,0.001010281,0.0008276654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005508162,0.0006516774,0.01296596,0.002058389,0.001177802,0.002456307,0.001212746,0.02930647,0.08818849,0.01985714,0.677957,0.1586598],"study_design_scores_gemma":[0.001885501,0.0003561287,0.01548387,0.0003544758,0.0002301496,0.001143757,0.0008887807,0.46882,0.1277272,0.06665606,0.3156621,0.0007919361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01137165,0.0005272193,0.390493,0.00101936,0.0005369276,0.0007683538,0.07587181,0.5140645,0.005347226],"genre_scores_gemma":[0.147372,0.0009009758,0.4707922,0.002017948,0.0002805616,0.002333225,0.2645473,0.1046385,0.007117191],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.018741,"threshold_uncertainty_score":0.06269491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527155925417372,"score_gpt":0.2906401319897265,"score_spread":0.2653685727355528,"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."}}