{"id":"W2365066302","doi":"","title":"APPLYING TP-M13-SSR TECHNOLOGY TO ANALYZE GENETIC DIVERSITY IN TWO CHINESE INDIGENOUS PIG BREEDS","year":2013,"lang":"en","type":"article","venue":"","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Genetic diversity; Microsatellite; Loss of heterozygosity; Biology; Indigenous; Allele; Population; Genetic resources; Genetics; Evolutionary biology; Zoology; Biotechnology; Ecology; Gene; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023705,0.0003024343,0.000296695,0.001306157,0.0003268166,0.0002829069,0.0003268119,0.0004054789,0.0004769108],"category_scores_gemma":[0.000633413,0.0001504692,0.0004561167,0.001072793,0.0002550971,0.0002265775,0.0003233671,0.0003039701,0.0001432961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153688,"about_ca_system_score_gemma":0.0004106765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00293342,"about_ca_topic_score_gemma":0.004752599,"domain_scores_codex":[0.999657,0.00004493491,0.00003947749,0.0001331255,0.00008714257,0.0000383157],"domain_scores_gemma":[0.9997655,0.00005739702,0.00005585645,0.0000217705,0.00006986065,0.00002968605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001621326,0.00007090294,0.04109802,0.0001359771,0.0001031511,0.0005405441,0.0006646774,0.0002551079,0.9173564,0.0001841457,0.00007603178,0.0393529],"study_design_scores_gemma":[0.00008149547,0.0007697764,0.7155706,0.00004826159,0.000648149,0.003123776,0.0006508583,0.006758032,0.2684957,0.0004365699,0.003347256,0.00006954389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844325,0.0002430478,0.01430334,0.00003417703,0.000009286502,0.00004242786,0.000209847,0.00003719837,0.0006882014],"genre_scores_gemma":[0.957462,0.0003254639,0.03948838,0.0000918267,0.00001167226,0.0001253109,0.0009499469,0.00001627706,0.001529172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00293342,"threshold_uncertainty_score":0.005832672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005679084111237781,"score_gpt":0.2754306485802995,"score_spread":0.2697515644690617,"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."}}