{"id":"W4394270202","doi":"10.6084/m9.figshare.21282426","title":"Additional file 3 of Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stamen; Transcriptome; Biology; Botany; Gene; Genetics; Pollen","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":[0.0008890438,0.001972577,0.001877139,0.002268005,0.001270405,0.002158965,0.002145349,0.001915645,0.4522332],"category_scores_gemma":[0.00461588,0.0006006669,0.001814195,0.003694225,0.0003985684,0.001475177,0.001438414,0.001498068,0.1260734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091264,"about_ca_system_score_gemma":0.001870794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105985,"about_ca_topic_score_gemma":0.02522825,"domain_scores_codex":[0.999454,0.00005838408,0.00005613939,0.0002218718,0.0001023721,0.0001072628],"domain_scores_gemma":[0.9977999,0.00120227,0.0001574875,0.0002575101,0.0004187083,0.000164061],"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":[0.000531417,0.000100485,0.004609125,0.005172997,0.0001669888,0.0001322854,0.0001086706,0.0007954009,0.001785402,0.0006196731,0.9807857,0.005191889],"study_design_scores_gemma":[0.001885517,0.0001749925,0.02837668,0.001488253,0.0003136838,0.0003707095,0.0002809972,0.001145952,0.002606285,0.004137385,0.9590924,0.0001270232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009656789,0.00001792153,0.00004765482,0.00001447925,0.000007267791,0.000007683662,0.9994907,0.0001478342,0.0001698219],"genre_scores_gemma":[0.0008292198,0.0000350601,0.0004486764,0.00006649773,0.000006241075,0.0001231575,0.9976794,0.0001418149,0.000669889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4522332,"threshold_uncertainty_score":0.7813228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974662116941411,"score_gpt":0.2519312155283114,"score_spread":0.2321845943588973,"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."}}