{"id":"W3196958573","doi":"10.3897/bdj.9.e71378","title":"Molecular Acquisition, Cleaning and Evaluation in R (MACER) - A tool to assemble molecular marker datasets from BOLD and GenBank","year":2021,"lang":"en","type":"article","venue":"Biodiversity Data Journal","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"GenBank; Construct (python library); Computer science; Upload; Component (thermodynamics); Process (computing); Data mining; Sequence (biology); Information retrieval; Data science; Biology; World Wide Web","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":[0.01776279,0.004389409,0.004025062,0.005390018,0.002027223,0.005315686,0.004041053,0.001086232,0.03498838],"category_scores_gemma":[0.05052194,0.002611261,0.003545706,0.003919417,0.001719296,0.003903566,0.004717288,0.005759389,0.04335101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009451642,"about_ca_system_score_gemma":0.004236479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236174,"about_ca_topic_score_gemma":0.002621917,"domain_scores_codex":[0.9913168,0.002590488,0.001631917,0.0021405,0.00186491,0.0004554699],"domain_scores_gemma":[0.97593,0.01044281,0.003514156,0.005522061,0.003789238,0.0008017622],"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":[0.002783001,0.0003135022,0.01239641,0.008757995,0.002014766,0.00157027,0.00292583,0.0056116,0.06920376,0.01411046,0.68911,0.1912025],"study_design_scores_gemma":[0.0007504442,0.0006281394,0.01852556,0.001313378,0.0007520823,0.001529251,0.0006539572,0.03668184,0.09062532,0.03385333,0.8137703,0.0009164301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006529947,0.0006535738,0.4727606,0.0005978371,0.0004401739,0.001443368,0.07812497,0.4356532,0.003796344],"genre_scores_gemma":[0.02013021,0.0006117285,0.7486886,0.0008566888,0.0002001108,0.005149102,0.09356213,0.1267897,0.004011744],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03498838,"threshold_uncertainty_score":0.1170478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641788231621638,"score_gpt":0.2679851368399678,"score_spread":0.2415672545237514,"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."}}