{"id":"W2799484712","doi":"10.1139/cjm-2018-0097","title":"ViDiT–CACTUS: an inexpensive and versatile library preparation and sequence analysis method for virus discovery and other microbiology applications","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Biology; Computational biology; Genome; Nanopore sequencing; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001803615,0.001840062,0.001156149,0.002738726,0.001164549,0.001786058,0.002412821,0.001325916,0.007836868],"category_scores_gemma":[0.002684627,0.0009224904,0.001020886,0.001404846,0.0008470507,0.0009450552,0.00167536,0.001636473,0.005425315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007492629,"about_ca_system_score_gemma":0.001055854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159096,"about_ca_topic_score_gemma":0.002124116,"domain_scores_codex":[0.9980932,0.0001976841,0.0001556278,0.0006650087,0.0007374121,0.0001509879],"domain_scores_gemma":[0.9986109,0.0003177076,0.0002457265,0.0003554066,0.0002759636,0.0001943223],"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":[0.0006356957,0.0001995938,0.003192856,0.0006537884,0.0001145808,0.0003461496,0.0003006035,0.0009674294,0.8796483,0.001504713,0.008107649,0.1043287],"study_design_scores_gemma":[0.00007103852,0.0005383865,0.006030802,0.0001326385,0.00009950814,0.001274747,0.00008168986,0.008893278,0.8757361,0.0005037979,0.1064911,0.0001470899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3159364,0.006895648,0.5532293,0.001092031,0.001298563,0.004114157,0.02289976,0.06293611,0.03159801],"genre_scores_gemma":[0.1969743,0.002765583,0.7007874,0.00116935,0.0002528657,0.005464596,0.04721037,0.007067024,0.03830853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007836868,"threshold_uncertainty_score":0.02621698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454911287198949,"score_gpt":0.2816040780974842,"score_spread":0.2670549652254947,"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."}}