{"id":"W3153665559","doi":"10.1111/nph.17405","title":"FIBexDB: a new online transcriptome platform to analyze development of plant cellulosic fibers","year":2021,"lang":"en","type":"letter","venue":"New Phytologist","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture, Forestry and Fisheries Research Council; Russian Science Foundation","keywords":"Cellulosic ethanol; Transcriptome; Computer science; Biology; Cellulose; Gene expression; Gene; Genetics","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":[0.001776354,0.003264162,0.003406852,0.002802435,0.001929142,0.004411152,0.00176177,0.002130799,0.01670698],"category_scores_gemma":[0.002594545,0.001751306,0.002941974,0.002435521,0.0005296741,0.00208598,0.00306727,0.002902003,0.01466551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009940634,"about_ca_system_score_gemma":0.002402993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565151,"about_ca_topic_score_gemma":0.005158994,"domain_scores_codex":[0.9986449,0.0001404283,0.0001228923,0.0005858031,0.0003022083,0.0002037694],"domain_scores_gemma":[0.9992759,0.0002554525,0.0001223813,0.0001136193,0.0001288554,0.0001038987],"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":[0.007342846,0.0004768185,0.0240977,0.01873414,0.002268957,0.002928549,0.003395178,0.007675817,0.5182102,0.01078646,0.2956087,0.1084747],"study_design_scores_gemma":[0.001351066,0.000776582,0.07108714,0.00195328,0.001379094,0.002697523,0.001338674,0.03367543,0.07506736,0.01324283,0.7966235,0.0008074147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.03107397,0.01007844,0.09085156,0.0005725562,0.001026741,0.0008088532,0.7445171,0.1020624,0.01900847],"genre_scores_gemma":[0.03708818,0.003363438,0.1331083,0.001456509,0.0001755331,0.003047915,0.8042871,0.01132821,0.006144756],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01670698,"threshold_uncertainty_score":0.05589038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586542546843683,"score_gpt":0.2647690150060646,"score_spread":0.2089035895376278,"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."}}