{"id":"W2983419299","doi":"10.1139/cjas-2018-0170","title":"Utilization of microsatellite markers in genotyping of Saudi Arabian camels for productivity and conservation","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Animal Diversity and Health Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Plan for Science, Technology and Innovation; King Abdulaziz City for Science and Technology","keywords":"Microsatellite; Biology; Breed; Loss of heterozygosity; Locus (genetics); Allele; Population; Genotyping; Genetics; Genetic distance; Veterinary medicine; Outbreeding depression; Inbreeding; Genetic variation; Zoology; Genotype; Demography; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006878103,0.00003826418,0.0001273074,0.00004884505,0.0001186143,0.00001228824,0.0001115311,0.00002323783,0.00001473838],"category_scores_gemma":[0.0001428739,0.00001956716,0.00002183222,0.0003429995,0.0002781605,0.0002319092,0.00001198679,0.00004075214,2.626867e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004414266,"about_ca_system_score_gemma":0.0001876184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323523,"about_ca_topic_score_gemma":0.03272901,"domain_scores_codex":[0.9994686,0.00001598114,0.0001787997,0.00009485964,0.00009132479,0.0001504963],"domain_scores_gemma":[0.999377,0.00005815705,0.0001934237,0.00001372172,0.0002558221,0.0001018926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000976931,0.00000647451,0.526046,0.00003752249,0.000001935162,5.072816e-7,0.0004075984,0.000002180836,0.466899,0.0004866881,0.00002548964,0.005988831],"study_design_scores_gemma":[0.00007698904,0.0004921209,0.9935244,0.00006066645,0.000003007937,0.000002828762,0.0008744141,0.00004773197,0.004120702,0.0001118577,0.0006494483,0.00003582814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983448,0.0003441363,0.000002998462,0.001010234,0.00004419431,0.0001364333,0.00001594544,5.545938e-7,0.0001007327],"genre_scores_gemma":[0.9997188,0.00004988491,0.0001545485,0.00005364883,0.00001564488,1.994958e-7,5.241298e-7,1.981017e-7,0.00000657168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4674783,"threshold_uncertainty_score":0.9849212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541179674167887,"score_gpt":0.2530328435246507,"score_spread":0.198914876107862,"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."}}