{"id":"W4394144184","doi":"10.6084/m9.figshare.20329933","title":"Additional file 1 of Exploring the multi-level regulation of lignocellulases in the filamentous fungus Trichoderma guizhouense NJAU4742 from an omics perspective","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Fungus; Perspective (graphical); Biology; Filamentous fungus; Trichoderma; Botany; Computer science; Artificial intelligence; Genetics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00104991,0.001984315,0.001717854,0.002626334,0.0008786127,0.002145918,0.002364066,0.001975341,0.3464716],"category_scores_gemma":[0.005970638,0.0006661831,0.001575043,0.004503414,0.0003941208,0.00140823,0.00149222,0.001401048,0.1064812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144552,"about_ca_system_score_gemma":0.002426011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009251482,"about_ca_topic_score_gemma":0.02016744,"domain_scores_codex":[0.9993548,0.00007911247,0.00008280643,0.0002517524,0.0001229949,0.0001086351],"domain_scores_gemma":[0.9972997,0.001583252,0.000193948,0.0003285423,0.0004499361,0.0001445755],"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":[0.0003601349,0.0001003687,0.002835413,0.006431157,0.0001679361,0.0001134664,0.00008451907,0.001026749,0.001259502,0.0008823457,0.9817606,0.004977813],"study_design_scores_gemma":[0.0024537,0.0001667009,0.02054864,0.001451708,0.0003528496,0.0002842176,0.0002213615,0.001522007,0.002398425,0.004407906,0.966069,0.0001234729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007608012,0.00001938502,0.00004176025,0.00001507294,0.000005053446,0.000007957643,0.9995702,0.0001193402,0.000145259],"genre_scores_gemma":[0.0005956503,0.00003993426,0.0003898912,0.00005030051,0.000004361592,0.0001144213,0.9982305,0.00009815758,0.0004768537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3464716,"threshold_uncertainty_score":0.932179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09899098259938313,"score_gpt":0.2508652757088181,"score_spread":0.1518742931094349,"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."}}