{"id":"W4411465174","doi":"10.5194/aab-68-409-2025","title":"Genetic diversity and population structure of the indigenous goat population in Tunisia's northwest","year":2025,"lang":"en","type":"article","venue":"Archives animal breeding/Archiv für Tierzucht","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"","keywords":"Genetic diversity; Inbreeding; Biology; Population; Analysis of molecular variance; Genetic variation; Microsatellite; Genetic variability; Allele; Genetic structure; Genetic distance; Evolutionary biology; Genetics; Veterinary medicine; Demography; Genotype; Gene","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":[0.0006350763,0.00009817951,0.0001214857,0.0006611254,0.0002998627,0.0003184853,0.0001429212,0.0001106801,0.0005904351],"category_scores_gemma":[0.0004084122,0.00007090579,0.0001384658,0.0004243444,0.0002539261,0.0001248776,0.0001559465,0.00009406137,0.00005512937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004319468,"about_ca_system_score_gemma":0.0002711507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01703106,"about_ca_topic_score_gemma":0.02491244,"domain_scores_codex":[0.9998525,0.00004898891,0.000009807749,0.00004360498,0.00002320313,0.00002178186],"domain_scores_gemma":[0.9998203,0.00003916935,0.0000701507,0.00001405833,0.00003517882,0.00002118153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009630142,0.00003391486,0.9790878,0.00001952726,0.0001267238,0.000318261,0.001383993,0.0002411452,0.007267858,0.0001285554,0.00005685275,0.01123909],"study_design_scores_gemma":[0.000004759338,0.00004416459,0.9985398,0.00001030727,0.00001766946,0.0001996113,0.0004681231,0.0003041979,0.0001625627,0.00003228911,0.0002141104,0.000002367912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997819,0.00005752049,0.00005243837,0.000007070199,4.540032e-7,0.000001514873,0.00002248832,6.913031e-7,0.00007587775],"genre_scores_gemma":[0.9995999,0.00005649176,0.0001486252,0.000004990535,0.00000173638,0.000003147653,0.00005523147,4.578019e-7,0.0001294634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703106,"threshold_uncertainty_score":0.0338639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006246910952384287,"score_gpt":0.2207559389998823,"score_spread":0.214509028047498,"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."}}