{"id":"W4394099131","doi":"10.6084/m9.figshare.14053242","title":"Additional file 12 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Identification (biology); Computational biology; Heat stress; Coding (social sciences); Biology; Genome; Computer science; Genetics; Gene; Mathematics; Statistics; Ecology","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":[0.0009736736,0.001550423,0.001687826,0.001960065,0.0008781499,0.001704643,0.002232113,0.001846542,0.4547016],"category_scores_gemma":[0.008230032,0.0005817608,0.001294507,0.003222942,0.0003122104,0.001110575,0.001233636,0.001216145,0.08886117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000972361,"about_ca_system_score_gemma":0.001681565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009472881,"about_ca_topic_score_gemma":0.01949745,"domain_scores_codex":[0.999448,0.00007222091,0.00007993447,0.0002061342,0.00009308151,0.000100648],"domain_scores_gemma":[0.9957468,0.002677351,0.0003370768,0.0003615567,0.0006205589,0.0002566361],"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":[0.0004788351,0.000100126,0.005228076,0.005009229,0.0001580468,0.00009325716,0.00005203112,0.0006211303,0.0005469008,0.0004706525,0.9824835,0.004758313],"study_design_scores_gemma":[0.005730302,0.0002936701,0.05124962,0.00269241,0.0005100796,0.0004940397,0.0002897548,0.001960574,0.00195695,0.006051343,0.9286062,0.0001650998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008303144,0.00001503033,0.00003343652,0.00002006403,0.000004853545,0.000008999265,0.9996526,0.00007345944,0.0001084977],"genre_scores_gemma":[0.001337528,0.00004317689,0.000418481,0.00009996242,0.00001057943,0.0002287009,0.9969102,0.00009338631,0.0008580843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4547016,"threshold_uncertainty_score":0.777802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703962591922939,"score_gpt":0.2382482805219846,"score_spread":0.2212086546027552,"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."}}