{"id":"W4394426989","doi":"10.6084/m9.figshare.14140326","title":"Additional file 4 of Gene co-expression analysis of tomato seed maturation reveals tissue-specific regulatory networks and hubs associated with the acquisition of desiccation tolerance and seed vigour","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Desiccation; Biology; Desiccation tolerance; Gene; Gene expression; Botany; Expression (computer science); Horticulture; Computational biology; Cell biology; Genetics; Computer science","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":[0.001026282,0.001708725,0.001888421,0.002548375,0.0009656179,0.002083705,0.002412948,0.001959504,0.3754525],"category_scores_gemma":[0.008483887,0.0006433927,0.001633049,0.003855204,0.0003603811,0.001271607,0.001491818,0.00143338,0.09555259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175325,"about_ca_system_score_gemma":0.00188215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208895,"about_ca_topic_score_gemma":0.02454721,"domain_scores_codex":[0.9993525,0.0000849151,0.00007719864,0.00026605,0.0001116333,0.0001076702],"domain_scores_gemma":[0.9957948,0.00275237,0.0002868582,0.0003660195,0.0005599484,0.0002399999],"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":[0.0003214819,0.00007508956,0.00487331,0.005307592,0.0001837337,0.0001054933,0.00008024924,0.0008660234,0.000632835,0.0007689653,0.9828275,0.003957738],"study_design_scores_gemma":[0.003473793,0.0001748972,0.03901751,0.002366009,0.0004494757,0.0003882726,0.0002682667,0.00213015,0.001589355,0.006575133,0.9434307,0.0001365679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007725086,0.00002019917,0.00004158665,0.00001873059,0.000004636431,0.000006574324,0.9996052,0.00009812605,0.0001276667],"genre_scores_gemma":[0.001114572,0.00004632565,0.0004094854,0.00008114006,0.000006737711,0.0001511473,0.9974977,0.0001100969,0.0005826526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3754525,"threshold_uncertainty_score":0.8908412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676638767542145,"score_gpt":0.2235490326306774,"score_spread":0.2067826449552559,"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."}}