{"id":"W7020290439","doi":"","title":"Jalostuksen ja maantieteen vaikutus koirarotujen erilaistumisessa geneettisiksi osapopulaatioiksi","year":2019,"lang":"fi","type":"dissertation","venue":"UEF eRepo (University of Eastern Finland)","topic":"Entomological Studies and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shetland; Purebred; Genetic diversity; Selection (genetic algorithm); Genetic structure; Genetic variation; Inbreeding; Genetic heterogeneity; Genetic variability","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002999793,0.0006502034,0.001337411,0.00008339336,0.0008069195,0.00007401986,0.001166948,0.001003871,0.006897222],"category_scores_gemma":[0.00006609861,0.0004159679,0.0006978223,0.0004663319,0.0002826518,0.0002329238,0.0005672356,0.0005066028,0.001985932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151153,"about_ca_system_score_gemma":0.00005238537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007473363,"about_ca_topic_score_gemma":0.008014555,"domain_scores_codex":[0.9965274,0.0002528885,0.0005933903,0.001185704,0.0005588463,0.0008817417],"domain_scores_gemma":[0.9976611,0.0002783483,0.001139503,0.0003044813,0.0003443604,0.0002721953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00124354,0.000710464,0.8909699,0.0005765093,0.000924992,0.0003479053,0.002735352,0.00005561091,0.005089988,0.0005615628,0.002643374,0.09414081],"study_design_scores_gemma":[0.001254188,0.00162428,0.9039918,0.0002627194,0.0004170322,0.00002339738,0.01761756,0.0003710318,0.00009369955,0.0003564873,0.07289749,0.001090329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565879,0.001060356,0.00002213558,0.0008737011,0.001272981,0.0007774669,0.0003856733,0.00005158743,0.03896816],"genre_scores_gemma":[0.8553563,0.001103663,0.0001592007,0.0001175182,0.0002738785,0.000001721169,0.001284793,0.000008380057,0.1416946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027264,"threshold_uncertainty_score":0.9998292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201927890513366,"score_gpt":0.1996456185317253,"score_spread":0.1794528294803887,"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."}}