{"id":"W4400429246","doi":"10.5376/mgg.2024.15.0005","title":"Teosinte and Maize Comparative Genomics and Agricultural Impact","year":2024,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomics; Agriculture; Biology; Comparative genomics; Biotechnology; Genome; Genetics; Gene; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002413752,0.0001909397,0.000167527,0.0008404243,0.0003424367,0.0007515337,0.0002104638,0.0003333849,0.00122091],"category_scores_gemma":[0.0002125276,0.00008353873,0.0001759622,0.0007660234,0.0002837256,0.0004734818,0.0004437063,0.0002808716,0.0001174833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008907074,"about_ca_system_score_gemma":0.0005278388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004245831,"about_ca_topic_score_gemma":0.004689533,"domain_scores_codex":[0.9998857,0.00001733652,0.000003577099,0.00004080607,0.00002557697,0.00002699283],"domain_scores_gemma":[0.9999099,0.00002500449,0.00002536935,0.000005392953,0.00001540683,0.00001890435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006843947,0.00004485783,0.01218432,0.0002776372,0.00007580318,0.000466443,0.0005851896,0.001696616,0.8994815,0.0185622,0.0002827275,0.06565825],"study_design_scores_gemma":[0.00006646403,0.0008041316,0.5891725,0.000236134,0.0002362033,0.002779181,0.002625017,0.004034323,0.2137446,0.02280295,0.1633974,0.0001011109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702856,0.00959905,0.003288838,0.0008279594,0.00002614373,0.00001209434,0.0007450267,0.00002923539,0.01518605],"genre_scores_gemma":[0.9858391,0.006626589,0.0030294,0.0002288961,0.00002809723,0.0000086163,0.001065271,0.00001969336,0.003154334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004245831,"threshold_uncertainty_score":0.008442223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298318885512457,"score_gpt":0.2299316296385701,"score_spread":0.2000997410873244,"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."}}