{"id":"W3036315673","doi":"10.1038/s41598-020-66953-3","title":"Novel insights on demographic history of tribal and caste groups from West Maharashtra (India) using genome-wide data","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Eli Lilly and Company","keywords":"Caste; Pastoralism; Geography; Population; Steppe; South asia; Indian subcontinent; Ethnic group; Evolutionary biology; Biology; Demography; Socioeconomics; Ethnology; Anthropology; Livestock; History; Archaeology; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004758622,0.0001858726,0.000179512,0.002086906,0.0005338531,0.0007215092,0.0002680087,0.0001710609,0.001105538],"category_scores_gemma":[0.0008915696,0.00009659064,0.0002447246,0.00239934,0.0003347847,0.0002628666,0.000644954,0.0003809059,0.0002076119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159884,"about_ca_system_score_gemma":0.0002752815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006676912,"about_ca_topic_score_gemma":0.01859473,"domain_scores_codex":[0.9997321,0.00008057777,0.00001902037,0.00008011022,0.0000365804,0.00005161888],"domain_scores_gemma":[0.9995123,0.0001558013,0.0001125257,0.00008579074,0.00006854847,0.00006509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008801238,0.00004355176,0.9417604,0.0001201606,0.0002271137,0.0004300664,0.006946018,0.0004734305,0.01347205,0.0006060546,0.0005619326,0.03527125],"study_design_scores_gemma":[0.000002532537,0.00001309226,0.9963036,0.00001927745,0.00004384857,0.0002291409,0.001284226,0.0002914213,0.0002519265,0.0001484009,0.00140476,0.00000774734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979174,0.0003299409,0.0004047425,0.00005962616,0.000003447231,0.000004910042,0.0005471771,0.000008238165,0.0007246016],"genre_scores_gemma":[0.9974285,0.0002651702,0.0008504929,0.00005345543,0.000007631741,0.000007409434,0.001233143,0.000005491975,0.0001487546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006676912,"threshold_uncertainty_score":0.0132761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05968505189251242,"score_gpt":0.266284779005148,"score_spread":0.2065997271126356,"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."}}