{"id":"W2252396371","doi":"","title":"Microsatellite DNA형에 의한 개의 친자감정예","year":2003,"lang":"ko","type":"article","venue":"생명과학회지","topic":"Healthcare and Venom Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genotyping; Microsatellite; Labrador Retriever; Biology; Forensic genetics; Genetics; Mendelian inheritance; Genotype; Medicine; Allele; Gene; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007689038,0.0002332757,0.0003272204,0.0008949664,0.0002825732,0.0002028264,0.0002048984,0.0002822886,0.001318719],"category_scores_gemma":[0.00169691,0.0001238005,0.0001753373,0.000606638,0.0001350149,0.0001690179,0.0001468823,0.0001962942,0.0008019823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120291,"about_ca_system_score_gemma":0.0002288108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194585,"about_ca_topic_score_gemma":0.002785716,"domain_scores_codex":[0.9995599,0.00007915769,0.00003690958,0.0001714736,0.0001129196,0.00003952655],"domain_scores_gemma":[0.9989845,0.0002435928,0.0002571857,0.0001109231,0.000310912,0.00009279582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005416823,0.0002211608,0.4258759,0.0001537159,0.000145272,0.00150227,0.001464667,0.0007607273,0.4362125,0.0007217978,0.000379022,0.1320212],"study_design_scores_gemma":[0.00008705578,0.003142647,0.867796,0.00006587943,0.0004092882,0.009927103,0.0008415988,0.004324502,0.08701135,0.0005610549,0.02575698,0.00007650381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932557,0.0001812053,0.00532672,0.00001874134,0.0000123468,0.00003454556,0.0003042262,0.0000344925,0.0008318715],"genre_scores_gemma":[0.981804,0.000141838,0.0153749,0.00002721575,0.00001192413,0.00003435734,0.000981729,0.00001010701,0.001614003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001318719,"threshold_uncertainty_score":0.004411578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07299817830643628,"score_gpt":0.3987556201148829,"score_spread":0.3257574418084466,"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."}}