{"id":"W4411106566","doi":"10.5376/ijmeb.2024.15.0024","title":"Genetic Diversity Studies in Myanmar's Core Landrace Rice Varieties","year":2024,"lang":"en","type":"article","venue":"International Journal of Molecular Evolution and Biodiversity","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic diversity; Diversity (politics); Biology; Geography; Biotechnology; Political science; Sociology; Demography; Population","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":[0.0003809342,0.0001354558,0.0001542039,0.0006502133,0.0005171206,0.0002548375,0.0001663559,0.0001152581,0.001123172],"category_scores_gemma":[0.0003220132,0.00006018742,0.0002595915,0.0007885394,0.0002102697,0.0001326997,0.0004022294,0.000161961,0.0001788904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433236,"about_ca_system_score_gemma":0.000285887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007985434,"about_ca_topic_score_gemma":0.02012432,"domain_scores_codex":[0.9998496,0.00003324249,0.00001309085,0.00006569828,0.00001420638,0.00002415709],"domain_scores_gemma":[0.9998228,0.00003009333,0.00005505219,0.00003891826,0.00002793975,0.00002527783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005486791,0.0001554801,0.776002,0.0001478389,0.0002429491,0.001115598,0.008900839,0.0004453506,0.1445467,0.002191747,0.0007341074,0.0649686],"study_design_scores_gemma":[0.00000839715,0.0001433511,0.9916185,0.00002407762,0.00005412353,0.0004056641,0.001403778,0.0002749249,0.002357986,0.0001707269,0.003529547,0.000009108114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988291,0.00007624662,0.000229591,0.00002738146,0.000001740726,0.000007696516,0.0002674175,0.000003156319,0.0005577218],"genre_scores_gemma":[0.9979874,0.00009396015,0.0006335494,0.00002525692,0.000002912322,0.00002399966,0.0006249421,0.000003820298,0.000604246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007985434,"threshold_uncertainty_score":0.0158779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534504006574894,"score_gpt":0.2654813911443576,"score_spread":0.2201363510786087,"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."}}