{"id":"W4394197012","doi":"10.6084/m9.figshare.20356623","title":"Additional file 9 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":"Mechanism (biology); Adaptation (eye); Salt (chemistry); Genomics; Computational biology; Comparative genomics; Computer science; Chemistry; Biology; Genetics; Genome; Gene; Physics; Neuroscience","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":[0.00003528792,0.0001346597,0.0001950529,0.00003720374,0.00008765895,0.00001123554,0.0003900901,0.00005269564,0.9986631],"category_scores_gemma":[0.0003532699,0.0001154339,0.0001161412,0.0001283777,0.00001855716,0.0000477968,0.0002713646,0.00009805687,0.0004121553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009179053,"about_ca_system_score_gemma":0.00003950487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002834807,"about_ca_topic_score_gemma":0.0001166063,"domain_scores_codex":[0.9990133,0.00005890622,0.0002547007,0.0002101978,0.0003535752,0.0001093059],"domain_scores_gemma":[0.9983567,0.0007799465,0.0005461073,0.0002601503,0.00002987736,0.0000272009],"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":[0.000006081396,0.00003665197,2.419595e-9,0.00007919022,0.00003153413,8.976663e-7,0.00003955817,0.001660517,0.00001648558,0.0000674481,0.9979832,0.00007838988],"study_design_scores_gemma":[0.00007383549,0.00006868106,0.00002759026,0.0001306827,0.00002326088,5.478627e-7,0.0002017261,0.0004046433,0.00006933551,0.0004210895,0.9984657,0.0001129474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.868996e-7,0.00001089838,0.00002316122,0.00001990281,0.00002293956,0.0006974504,0.9988306,0.000006246646,0.0003885604],"genre_scores_gemma":[0.00001586271,0.000002569732,0.0008330297,0.0001812508,0.00001351081,0.003321821,0.9953163,0.000009027809,0.0003066311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9982509,"threshold_uncertainty_score":0.529756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404536579572497,"score_gpt":0.2565902192719185,"score_spread":0.2125448534761935,"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."}}