{"id":"W2206749611","doi":"10.32388/f4olbl","title":"International HapMap Project","year":2020,"lang":"en","type":"article","venue":"Definitions","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International HapMap Project; Human genome; Haplotype; Human genetic variation; Haplotype estimation; Sequence (biology); China; Evolutionary biology; DNA sequencing; 1000 Genomes Project; Geography; Computational biology; Genome; Library science; Biology; Genetics; DNA; Computer science; Gene; Archaeology; Genotype","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":[0.00005959024,0.00006804211,0.00005641354,0.00003227965,0.00005862971,0.00003285705,0.0001967834,0.00007193754,0.0001415161],"category_scores_gemma":[0.000306687,0.00006201578,0.0000606613,0.00007979608,0.00009008371,0.000002518122,0.0001238207,0.0000782159,0.0002475267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000487241,"about_ca_system_score_gemma":0.00008357562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005113352,"about_ca_topic_score_gemma":0.000004217426,"domain_scores_codex":[0.9993653,0.00001525492,0.0001420814,0.0001406586,0.0001824155,0.00015425],"domain_scores_gemma":[0.9996536,0.000008675359,0.00002568865,0.0001156418,0.00008362952,0.0001127551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001648313,0.0003207522,0.001919396,0.0001042252,0.0002597671,0.00001910926,0.0008798076,0.00001702887,0.2809597,0.006147645,0.6792038,0.03000395],"study_design_scores_gemma":[0.0003680565,0.0002262682,0.0004812116,0.000004295171,0.000006564215,0.000007834314,0.0002154372,0.0004200432,0.01389094,0.0002029431,0.9840567,0.0001196765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1324508,0.0004298979,0.03089618,0.04870066,0.001116679,0.000852148,0.001200512,0.0001492118,0.7842039],"genre_scores_gemma":[0.982957,0.001215391,0.007400184,0.00562486,0.0007874201,0.00003997987,0.001386971,0.00001586089,0.0005723215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8505062,"threshold_uncertainty_score":0.3181537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0810112224220009,"score_gpt":0.3166311718231301,"score_spread":0.2356199494011292,"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."}}