{"id":"W6941791392","doi":"10.1371/journal.pone.0098968.t001","title":"Metagenomic and genomic libraries used in this study.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metagenomics; Genomics; Genome; Identification (biology); Genomic sequencing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118895,0.002689527,0.003384415,0.005526221,0.00215882,0.003603908,0.003619642,0.003179499,0.07991939],"category_scores_gemma":[0.0074604,0.001177677,0.001834703,0.01218571,0.0005256412,0.001598743,0.002646918,0.003627232,0.07518396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870777,"about_ca_system_score_gemma":0.005931502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033074,"about_ca_topic_score_gemma":0.04709155,"domain_scores_codex":[0.9982665,0.0002326024,0.0001730151,0.0006479599,0.0003906422,0.0002892921],"domain_scores_gemma":[0.9977607,0.0007270172,0.0002509429,0.0005337042,0.0003636468,0.000364069],"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":[0.0006402698,0.0001017452,0.003425956,0.007273781,0.0004073348,0.0001596936,0.0001369043,0.00152455,0.00539441,0.002569817,0.970018,0.008347523],"study_design_scores_gemma":[0.000781713,0.00006521071,0.008624603,0.0008948769,0.0003218102,0.0001112433,0.0001459532,0.0005799571,0.002160762,0.00307319,0.9831597,0.0000809485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001717512,0.0001086174,0.0001679932,0.00002766934,0.00001806052,0.00001582519,0.9985815,0.0003102967,0.0005983331],"genre_scores_gemma":[0.0003285971,0.00007913861,0.0005965495,0.00004612259,0.000002683518,0.00008312445,0.9985292,0.00009738997,0.0002370983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07991939,"threshold_uncertainty_score":0.267357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056253926346444,"score_gpt":0.2403756805078381,"score_spread":0.1898131412443737,"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."}}