{"id":"W1993740770","doi":"10.1270/jsbbs.63.227","title":"Complexity of &lt;i&gt;indica-japonica&lt;/i&gt; varietal differentiation in Bangladesh rice landraces revealed by microsatellite markers","year":2013,"lang":"en","type":"article","venue":"Breeding Science","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Japonica; Biology; Japonica rice; Microsatellite; Genetic diversity; Crop; Botany; Agronomy; Horticulture; Allele; Gene; Population; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094909,0.0001492019,0.0002301549,0.00007163636,0.0003719543,0.00021518,0.000819089,0.00009255935,0.0003474463],"category_scores_gemma":[0.0001889023,0.00006379245,0.00007018604,0.001550054,0.001047821,0.0005447848,0.000207302,0.0001620549,0.00005582914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007035805,"about_ca_system_score_gemma":0.00003530815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005723102,"about_ca_topic_score_gemma":0.0002992463,"domain_scores_codex":[0.9977204,0.00009666506,0.000337897,0.0004741599,0.0007560908,0.0006147585],"domain_scores_gemma":[0.9990984,0.0002702245,0.000171741,0.00009085942,0.0001771238,0.0001916753],"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":[0.00001281263,0.0000919447,0.01656886,0.00001564113,0.000003319946,8.871137e-7,0.0001065176,6.620662e-7,0.9779919,0.0004519029,0.0005740937,0.004181396],"study_design_scores_gemma":[0.0001721624,0.0001536724,0.9891555,0.00004558733,0.000004218551,0.00000509864,0.00009728468,0.0007316297,0.008536389,0.0004024986,0.0005368009,0.0001591665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960398,0.0002599215,0.000006873542,0.00113584,0.0001000061,0.0003024588,0.00003268688,0.0000327019,0.002089674],"genre_scores_gemma":[0.999009,0.0001018168,0.0002375004,0.00003698832,0.00005042997,0.00001450208,0.00002835113,0.000001189603,0.000520202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9725866,"threshold_uncertainty_score":0.3860739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730880497179138,"score_gpt":0.2456511967989864,"score_spread":0.218342391827195,"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."}}