{"id":"W2124842374","doi":"10.1093/jhered/esi109","title":"Analysis of Allele Fidelity, Polymorphic Information Content, and Density of Microsatellites in a Genome-Wide Screening for Hip Dysplasia in a Crossbreed Pedigree","year":2005,"lang":"en","type":"article","venue":"Journal of Heredity","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Morris Animal Foundation","keywords":"Biology; Crossbreed; Microsatellite; Quantitative trait locus; Genotyping; Genetics; Locus (genetics); Population; Context (archaeology); Allele; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004995167,0.00006772135,0.0002697352,0.0001922822,0.00002156349,0.00001245328,0.00008973072,0.00007856697,0.00000591429],"category_scores_gemma":[0.0001532213,0.00006173638,0.0001066563,0.0001077674,0.00004614304,0.00001601592,0.00004434853,0.00006023404,8.249231e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007798159,"about_ca_system_score_gemma":0.00003710341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001839128,"about_ca_topic_score_gemma":0.0005720168,"domain_scores_codex":[0.9992346,0.00002647072,0.0004666174,0.00006958609,0.00009712035,0.0001056174],"domain_scores_gemma":[0.9992914,0.00003425848,0.0003734667,0.00006857202,0.0001923083,0.00004002007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004386927,0.00006264403,0.8516127,0.00005159343,0.00016679,0.000001571266,0.0002774647,0.0007925604,0.1450872,0.000002217421,0.0001134067,0.001393088],"study_design_scores_gemma":[0.001241419,0.0002224587,0.9755285,0.00002679102,0.0001071124,0.00001162098,0.0004310407,0.0005998887,0.02084847,0.00001512219,0.0008986637,0.00006891675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975951,0.0005674395,0.001552079,0.0001002538,0.0000175905,0.00006836561,0.00007694039,5.705622e-7,0.00002167631],"genre_scores_gemma":[0.9979764,0.0002071639,0.001656785,0.0000621642,0.00004288233,3.826347e-7,0.0000382244,0.000001586623,0.00001442095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242388,"threshold_uncertainty_score":0.2517536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883884904506273,"score_gpt":0.2496267312380495,"score_spread":0.2207878821929868,"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."}}