{"id":"W4394148944","doi":"10.6084/m9.figshare.22599287","title":"Additional file 3 of Identification and analysis of miRNAs differentially expressed in male and female Trichosanthes kirilowii maxim","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Maxim; Identification (biology); Biology; Trichosanthes; microRNA; Traditional medicine; Medicine; Botany; Genetics; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003919075,0.0001374603,0.0003047285,0.0003195069,0.00002288052,0.00001451786,0.0002237232,0.0002184936,0.5771114],"category_scores_gemma":[0.002492092,0.0001421341,0.00007898958,0.0003106061,0.0000497892,0.00000527551,0.0003060605,0.0001061222,0.00005994915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007582792,"about_ca_system_score_gemma":0.00006359712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001099739,"about_ca_topic_score_gemma":0.0001172164,"domain_scores_codex":[0.9989366,0.00005804664,0.0002876711,0.0003708803,0.0002122415,0.0001345644],"domain_scores_gemma":[0.9987792,0.000453783,0.0002538943,0.0003579852,0.0001139094,0.00004116525],"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":[0.00002607492,0.00004090909,0.00001263619,0.0005280717,0.000211834,0.000003821151,0.000003639041,0.000006077138,0.001406521,3.712512e-8,0.9974706,0.0002898329],"study_design_scores_gemma":[0.0001465392,0.00006222217,0.01011833,0.000867893,0.0000833248,0.000001543412,0.000017184,0.00006263943,0.003106321,0.000004992492,0.9853689,0.0001600923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005318222,0.0002922636,3.638539e-7,0.000002465869,0.000009200923,0.0001469031,0.9989954,0.000002263408,0.00001932759],"genre_scores_gemma":[0.0002049308,0.0002182678,0.00005092154,0.000003311075,0.00003517629,0.0004287963,0.9985108,0.00001294055,0.0005348425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5770515,"threshold_uncertainty_score":0.579606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307834385337605,"score_gpt":0.3147553115951135,"score_spread":0.2816769677417374,"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."}}