{"id":"W4394232069","doi":"10.6084/m9.figshare.20356593","title":"Additional file 23 of Comparative genomics reveals the molecular mechanism of salt adaptation for zoysiagrasses","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Adaptation (eye); Mechanism (biology); Genomics; Comparative genomics; Computational biology; Biology; Genetics; Genome; Gene; Neuroscience; Physics","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":[0.0011966,0.001885923,0.002044949,0.003281473,0.001129246,0.002742152,0.00316625,0.002566394,0.5440133],"category_scores_gemma":[0.0104693,0.0008712901,0.001591548,0.00714767,0.00047746,0.002309569,0.001907399,0.00159656,0.1588787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144752,"about_ca_system_score_gemma":0.002101327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549483,"about_ca_topic_score_gemma":0.03511775,"domain_scores_codex":[0.9991797,0.0001060298,0.0001143563,0.0002897416,0.0001466673,0.000163604],"domain_scores_gemma":[0.9945504,0.003100988,0.0004589772,0.0005743839,0.0009959103,0.0003193399],"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":[0.0001463737,0.00004175645,0.002084428,0.002637753,0.00007245124,0.00004734754,0.0000503399,0.0004095278,0.0001677632,0.0006422324,0.9914998,0.002200261],"study_design_scores_gemma":[0.001803519,0.00005774062,0.01874958,0.001514708,0.0001569596,0.0001274476,0.0002475173,0.000562302,0.0004288752,0.0039741,0.9722869,0.00009014885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003515587,0.00001051782,0.00001984313,0.00001851583,0.000004408851,0.000004318479,0.9996676,0.00006084241,0.0001787114],"genre_scores_gemma":[0.0007028314,0.00004021485,0.0002564228,0.00007206389,0.000007253305,0.0001165711,0.9979534,0.0001137483,0.0007375359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5440133,"threshold_uncertainty_score":0.6504097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04612861427154989,"score_gpt":0.2599185831859663,"score_spread":0.2137899689144164,"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."}}