{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004669385,0.001143272,0.001015667,0.004938006,0.001203885,0.001940164,0.001298966,0.0008575289,0.05042464],"category_scores_gemma":[0.007613294,0.0004762437,0.0007893716,0.01002685,0.0004546484,0.001122776,0.003123317,0.001796079,0.01760796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008454988,"about_ca_system_score_gemma":0.004117607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464198,"about_ca_topic_score_gemma":0.008407963,"domain_scores_codex":[0.9979049,0.00078332,0.0001776506,0.0005392461,0.0003903659,0.0002044906],"domain_scores_gemma":[0.9968912,0.0006661525,0.0002569953,0.0007429374,0.001059757,0.000382862],"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":[0.0003558786,0.00009269871,0.01360729,0.0008174421,0.0003028561,0.0001906765,0.0006982411,0.0003702396,0.0007636588,0.0135889,0.7399982,0.229214],"study_design_scores_gemma":[0.0001736738,0.00007094997,0.05416679,0.0004248149,0.000208909,0.000497788,0.0002690351,0.0003495555,0.0004362822,0.009176668,0.9341885,0.00003703103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02350985,0.01665008,0.06185721,0.01186374,0.004584965,0.002859341,0.7221364,0.003140941,0.1533974],"genre_scores_gemma":[0.05071607,0.007813979,0.06291498,0.002825675,0.0009638345,0.005419667,0.8219888,0.0006814057,0.04667563],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05042464,"threshold_uncertainty_score":0.1686872,"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."}}