{"id":"W4233604500","doi":"10.29169/1927-5129.2020.16.10","title":"Population Data of D6S1043, Penta D and Penta E Loci in Calabria (South of Italy)","year":2020,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loss of heterozygosity; Locus (genetics); Biology; Allele frequency; Genetics; Allele; Population; Forensic science; Genetic data; Microsatellite; Evolutionary biology; Demography; Gene; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00029255,0.0002286501,0.0002309339,0.001191077,0.0003867959,0.0003922007,0.0002747138,0.0002107908,0.001718775],"category_scores_gemma":[0.0005838981,0.0001085182,0.0001972093,0.0009115014,0.0002999839,0.00009287559,0.0002481392,0.000271689,0.0002029562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003318347,"about_ca_system_score_gemma":0.0001292306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01562789,"about_ca_topic_score_gemma":0.02256548,"domain_scores_codex":[0.9997978,0.00003337475,0.00001109025,0.0001002829,0.00003295725,0.00002453841],"domain_scores_gemma":[0.9997379,0.000053305,0.0000853122,0.00004549437,0.00004256392,0.00003539603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005458732,0.0001869085,0.9384073,0.00006817031,0.0001644749,0.0008209182,0.003081234,0.0004385079,0.01665809,0.0004249733,0.0007537944,0.03844969],"study_design_scores_gemma":[0.00001618166,0.00008843074,0.9977722,0.000006271932,0.00002163508,0.0004422313,0.0001851119,0.00008318327,0.0001190889,0.000057268,0.00120542,0.000003082727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987139,0.000177586,0.0002222064,0.00001693398,0.000003190916,0.000009492344,0.0002163937,0.000006398118,0.0006340167],"genre_scores_gemma":[0.9977068,0.0001542198,0.0005313346,0.00001898993,0.000006851551,0.0000124962,0.0008458758,0.000003191239,0.0007202444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01562789,"threshold_uncertainty_score":0.03107387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06154866646202595,"score_gpt":0.3208494923381279,"score_spread":0.259300825876102,"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."}}