{"id":"W4366290931","doi":"10.3389/fpls.2023.1143111","title":"LDRGDb - Legumes disease resistance genes database","year":2023,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Jaypee Institute of Information Technology","keywords":"Biology; Biotechnology; Plant disease resistance; Disease; Identification (biology); Agriculture; Resistance (ecology); Plant disease; Disease management; Gene; Genetics; Agronomy; Ecology; MEDLINE; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0005074977,0.0001456733,0.0001543359,0.00006835348,0.0005261003,0.000104617,0.0007543222,0.00002085325,0.00002650491],"category_scores_gemma":[0.0001428769,0.00005312641,0.0000380794,0.002525992,0.0003791265,0.0005518744,0.0003698225,0.00007756012,0.00009403128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005620076,"about_ca_system_score_gemma":0.00001336691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005508052,"about_ca_topic_score_gemma":0.0004391639,"domain_scores_codex":[0.9981744,0.00003160519,0.0001789678,0.0005465547,0.0005275707,0.0005409344],"domain_scores_gemma":[0.9995854,0.00006889407,0.00006114704,0.00009959112,0.00003359197,0.0001513313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007692913,0.00006373161,0.3837413,0.0000334214,0.00001042329,0.0002141761,0.0001427177,0.00007585059,0.01941795,0.001310345,0.5827534,0.01215974],"study_design_scores_gemma":[0.00007186737,0.00001442554,0.9106692,0.0000499011,0.000006847254,6.345521e-7,0.0008767421,0.0005335532,0.0002620097,0.0007869784,0.08648425,0.0002435578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906576,0.000904235,0.00001729235,0.004625387,0.001048395,0.0003139139,0.0003843126,0.0002514621,0.001797359],"genre_scores_gemma":[0.9902385,0.001325667,0.0008983603,0.0002872101,0.0001881775,0.00005462295,0.0002802848,0.000001053504,0.006726109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5269279,"threshold_uncertainty_score":0.4046392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805927221171375,"score_gpt":0.2124988072694656,"score_spread":0.1944395350577519,"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."}}