{"id":"W6939594810","doi":"10.6084/m9.figshare.26600308.v1","title":"Additional file 7 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities","year":2024,"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":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Pipeline (software); Table (database); Lactobacillus; Scalability; Eubacterium; Clostridium; Sample (material); Pipeline transport","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":[0.002479177,0.002750211,0.001959508,0.002722808,0.001279324,0.002603538,0.003734247,0.002312527,0.2908218],"category_scores_gemma":[0.009115911,0.001054415,0.002072427,0.004042558,0.0005952882,0.001945485,0.002252028,0.002222014,0.1243166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392326,"about_ca_system_score_gemma":0.002766492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006996063,"about_ca_topic_score_gemma":0.0167831,"domain_scores_codex":[0.9984968,0.0002026288,0.0001998354,0.0005734403,0.0002996014,0.0002277023],"domain_scores_gemma":[0.9965028,0.001640121,0.0003368579,0.0006155188,0.0006137931,0.0002909177],"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":[0.0005111176,0.0001086371,0.004295172,0.004747814,0.0002166907,0.00008710739,0.00008934853,0.001002267,0.002008721,0.0007494332,0.9802337,0.00594985],"study_design_scores_gemma":[0.002118457,0.0001718601,0.01592066,0.001117244,0.0002135581,0.0002195233,0.0001828927,0.001954258,0.0043473,0.004593254,0.9690062,0.0001548568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.000100006,0.00001688969,0.0001810306,0.00001937161,0.00001157979,0.00001940273,0.9988906,0.0005985993,0.0001626637],"genre_scores_gemma":[0.0006607546,0.00002556113,0.00142609,0.00006829658,0.000008101997,0.0002262418,0.9967849,0.0003691887,0.000430894],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2908218,"threshold_uncertainty_score":0.9728959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06503420678143876,"score_gpt":0.2542533853100344,"score_spread":0.1892191785285957,"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."}}