{"id":"W6981998326","doi":"","title":"Genetic diversity in Canadian horse breeds based on microsatellite analysis applications for livestock conservation","year":2000,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"African Studies and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsatellite; Livestock; Genotyping; Breed; Genetic diversity; Pony; Phylogenetic tree; Endangered species","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003487865,0.0001287211,0.0002762722,0.000723871,0.002129203,0.00001588005,0.0005471241,0.0001944023,0.000116342],"category_scores_gemma":[0.00001438351,0.000146939,0.0003295341,0.00191697,0.0002904803,0.00005263942,0.00002535379,0.0001379993,0.00001030525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318755,"about_ca_system_score_gemma":0.0004530438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8024414,"about_ca_topic_score_gemma":0.9673234,"domain_scores_codex":[0.9989773,0.0001143657,0.0001186828,0.0002503296,0.0002327502,0.0003065538],"domain_scores_gemma":[0.999058,0.000186941,0.0001926781,0.0002547516,0.000180268,0.0001273475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00295505,0.0005438376,0.4053727,0.00043391,0.002950528,0.00002296683,0.5313195,0.007461651,0.0003519289,0.005350996,0.01734093,0.02589594],"study_design_scores_gemma":[0.0002883064,0.00005376245,0.858471,0.00001843837,0.001081753,2.158282e-8,0.08173472,0.0005420704,8.968349e-7,0.0002789335,0.05731923,0.0002108351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763474,0.0003808478,0.0005139716,0.002418775,0.000110787,0.001646622,0.0004841741,0.0000341121,0.01806334],"genre_scores_gemma":[0.9962806,0.0003620838,0.0003110985,0.0001065358,0.00003916287,0.000003732102,0.0003431721,0.000007054331,0.002546597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4530983,"threshold_uncertainty_score":0.9991699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190530995061693,"score_gpt":0.2527224152890724,"score_spread":0.2308171053384554,"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."}}