{"id":"W3134954922","doi":"10.1093/nar/gkab133","title":"Streamlining CRISPR spacer-based bacterial host predictions to decipher the viral dark matter","year":2021,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Danish Agency for Science and Higher Education; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Canada Research Chairs; Novo Nordisk Fonden; Canadian Allergy, Asthma and Immunology Foundation","keywords":"Biology; CRISPR; Host (biology); Computational biology; Human virome; Metagenomics; Bacteriophage; Genome; Genetics; Gene; Escherichia coli","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002201098,0.00110117,0.001128392,0.002327779,0.000714543,0.001703543,0.001124351,0.0008705611,0.001604699],"category_scores_gemma":[0.00557769,0.000611629,0.001049446,0.001267724,0.0004053471,0.001492992,0.001204053,0.001374116,0.001030036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005809355,"about_ca_system_score_gemma":0.001103319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002899961,"about_ca_topic_score_gemma":0.005095351,"domain_scores_codex":[0.9990503,0.0002193424,0.0000737359,0.0003671963,0.0002100827,0.00007932927],"domain_scores_gemma":[0.9972813,0.001744189,0.0002423066,0.0002816653,0.0002925249,0.0001579693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002781251,0.001030741,0.1872468,0.001576639,0.001464375,0.001103194,0.0008487804,0.2278916,0.152128,0.005827441,0.02413736,0.3939639],"study_design_scores_gemma":[0.00006119698,0.0001880495,0.009313071,0.00004863666,0.00008631079,0.0002183843,0.0001755571,0.9309525,0.0473907,0.00535642,0.006138147,0.00007101113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6347926,0.001747542,0.2941178,0.0007449908,0.0002327353,0.0002113368,0.01197533,0.05263179,0.003545785],"genre_scores_gemma":[0.6101748,0.0004577281,0.3700743,0.0003307364,0.00008413185,0.0001792433,0.01619039,0.001364726,0.001143868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002899961,"threshold_uncertainty_score":0.01164067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063974357446398,"score_gpt":0.3305132384889827,"score_spread":0.2998734949145188,"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."}}