{"id":"W4394277457","doi":"10.6084/m9.figshare.22601464","title":"Additional file 3 of Genome-wide identification and characterization of polycomb repressive complex 2 core components in upland cotton (Gossypium hirsutum L.)","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gossypium hirsutum; Identification (biology); Characterization (materials science); Core (optical fiber); Genome; Biology; Botany; Computer science; Physics; Genetics; Optics; Telecommunications; Gene","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":[0.0009769575,0.001508616,0.001548738,0.002245365,0.0008777852,0.001584235,0.002242388,0.001667712,0.4355898],"category_scores_gemma":[0.006542996,0.0005204825,0.00113346,0.004052628,0.0003567702,0.001250441,0.001289245,0.001375133,0.09146904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206468,"about_ca_system_score_gemma":0.001889386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238082,"about_ca_topic_score_gemma":0.02449508,"domain_scores_codex":[0.9994397,0.00006310639,0.00008765901,0.0002079238,0.00009705976,0.0001044921],"domain_scores_gemma":[0.996698,0.001900556,0.0002928793,0.0002852997,0.0005984603,0.0002247407],"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":[0.0003054225,0.00008384627,0.004050131,0.003687882,0.00008804553,0.00008544538,0.00004686791,0.0005454673,0.0004189952,0.000483758,0.9868527,0.003351515],"study_design_scores_gemma":[0.0036628,0.0001995002,0.03507015,0.0020145,0.0002985224,0.0003942593,0.0003052256,0.001544596,0.001561211,0.004323062,0.9505221,0.0001040454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007795752,0.0000111629,0.00002322813,0.00001516529,0.000003954783,0.000006771797,0.9997029,0.00004419862,0.0001145508],"genre_scores_gemma":[0.0008776728,0.00003050428,0.0002433826,0.00006207656,0.000006373229,0.0001186607,0.9979836,0.00004828925,0.0006293941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4355898,"threshold_uncertainty_score":0.8050626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310377234795367,"score_gpt":0.3146376634272309,"score_spread":0.1835999399476942,"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."}}