{"id":"W2034452335","doi":"10.1016/j.copbio.2011.02.010","title":"The art and design of functional metagenomic screens","year":2011,"lang":"en","type":"article","venue":"Current Opinion in Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":110,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome British Columbia; University of British Columbia","funders":"","keywords":"Metagenomics; Biology; Computational biology; Isolation (microbiology); Host (biology); Focus (optics); Gene; Genetics; Bioinformatics","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":[0.004287013,0.001354839,0.001733558,0.001364888,0.0005404385,0.003681434,0.002084621,0.001516433,0.001593927],"category_scores_gemma":[0.006448994,0.0008466662,0.001203702,0.001129734,0.001785544,0.00268607,0.002528572,0.002763887,0.001145544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007078461,"about_ca_system_score_gemma":0.001163459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003300394,"about_ca_topic_score_gemma":0.0005530746,"domain_scores_codex":[0.9965808,0.001038839,0.0002590693,0.0005517923,0.001318054,0.0002514154],"domain_scores_gemma":[0.9974795,0.001233288,0.0002489104,0.0007006834,0.0002626147,0.00007499979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002755455,0.0001767645,0.001567517,0.001837867,0.000119628,0.0002124464,0.0002039685,0.007924634,0.7861559,0.03303627,0.001736484,0.166753],"study_design_scores_gemma":[0.0001098649,0.0009624861,0.002754438,0.000562371,0.000244269,0.001025421,0.0004395722,0.03938698,0.7954735,0.06453346,0.09433261,0.000174973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09202578,0.02654623,0.8613935,0.004306028,0.0005184335,0.0009496399,0.002122038,0.001878143,0.01026026],"genre_scores_gemma":[0.3366851,0.04627836,0.6036937,0.001936603,0.0002941867,0.00250654,0.004233589,0.0005359117,0.003836106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004287013,"threshold_uncertainty_score":0.02267218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0517708698101426,"score_gpt":0.2557695268796069,"score_spread":0.2039986570694643,"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."}}