{"id":"W2163150133","doi":"10.1186/1471-2156-6-s1-s1","title":"Genetic Analysis Workshop 14: microsatellite and single-nucleotide polymorphism marker loci for genome-wide scans","year":2005,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; National Institute of Mental Health","keywords":"Microsatellite; Single-nucleotide polymorphism; Genetics; Biology; Genetic marker; Genome; Genome Scan; Computational biology; Genotype; Allele; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01094123,0.002574409,0.001959301,0.005066095,0.0008238598,0.003882546,0.006428904,0.00319839,0.1296367],"category_scores_gemma":[0.02267485,0.002077554,0.001562076,0.004015388,0.0006227535,0.00210665,0.003237075,0.003370219,0.1094879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509788,"about_ca_system_score_gemma":0.003355078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003940627,"about_ca_topic_score_gemma":0.01201923,"domain_scores_codex":[0.9956673,0.001878381,0.0003347601,0.0004817747,0.001375276,0.0002624562],"domain_scores_gemma":[0.9890146,0.004405688,0.0006505321,0.001211944,0.002818245,0.001898933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005739743,0.00003891806,0.0002048393,0.0002571038,0.00003669951,0.00006517617,0.00002819176,0.0004523298,0.0007932392,0.0009324861,0.9234136,0.07371996],"study_design_scores_gemma":[0.0001308119,0.00008701181,0.003181861,0.0003458252,0.00004870542,0.0003342298,0.00005818611,0.001825575,0.001479049,0.009761538,0.9826689,0.00007830424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004299664,0.02222312,0.6621194,0.03738448,0.0567768,0.00385694,0.08617548,0.04396247,0.0832016],"genre_scores_gemma":[0.009365089,0.01527538,0.5415526,0.01179556,0.02128161,0.005120184,0.2009473,0.01500174,0.1796605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1296367,"threshold_uncertainty_score":0.4336781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405121942983918,"score_gpt":0.2517258063407714,"score_spread":0.2376745869109322,"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."}}