{"id":"W4393839938","doi":"10.5281/zenodo.7140751","title":"Shotgun metagenomic sequencing dataset of a synthetic mock community containing 20 genomes spiked-in at even and staggered concentrations.","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metagenomics; Shotgun; Shotgun sequencing; Computational biology; Genome; Biology; Computer science; Genetics; Gene","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":[0.001096025,0.001338956,0.001213108,0.001491912,0.001012852,0.0009539488,0.001070737,0.001858962,0.00267337],"category_scores_gemma":[0.001946951,0.0004226525,0.00122658,0.002774242,0.0005170034,0.0005879312,0.001109103,0.001339724,0.002583794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008437788,"about_ca_system_score_gemma":0.001371629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515555,"about_ca_topic_score_gemma":0.00568461,"domain_scores_codex":[0.9985375,0.0001836843,0.000120355,0.0006255493,0.0003945834,0.0001382519],"domain_scores_gemma":[0.9989389,0.0002352121,0.0001304099,0.0002156113,0.0003323001,0.0001476958],"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":[0.003958807,0.0009632869,0.03732532,0.006696061,0.001116478,0.001212319,0.0004456673,0.01431116,0.8302288,0.001827356,0.06740673,0.03450792],"study_design_scores_gemma":[0.000680164,0.001821991,0.2474996,0.0005852648,0.0009670878,0.002924992,0.0007976653,0.03428975,0.3036332,0.006127276,0.4002124,0.0004607222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1490855,0.001248779,0.01122515,0.0002530212,0.0001873154,0.0002652125,0.8333012,0.001752633,0.002681262],"genre_scores_gemma":[0.0327282,0.0002219215,0.01085835,0.0001810918,0.00001542256,0.0002722703,0.9550499,0.0001646955,0.0005082651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003515555,"threshold_uncertainty_score":0.00894326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04425117381699496,"score_gpt":0.258042934751728,"score_spread":0.213791760934733,"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."}}