{"id":"W7112619734","doi":"","title":"Een doe-het-zelf gids - Hoe nu zelf aan de slag gaan met DNA & familiegeschiedenis?","year":2021,"lang":"","type":"article","venue":"Lirias (KU Leuven)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulpit; Quarter (Canadian coin); Population","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001117458,0.001219765,0.00120676,0.0001114373,0.0007388708,0.0004241721,0.001240974,0.002026656,0.001439803],"category_scores_gemma":[0.0005021311,0.001389763,0.001461073,0.0005694684,0.0007746764,0.00003390994,0.001051993,0.001041881,0.0003283085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252209,"about_ca_system_score_gemma":0.001771591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478293,"about_ca_topic_score_gemma":0.0003852646,"domain_scores_codex":[0.9923914,0.0009877153,0.001335067,0.002379752,0.0008104254,0.00209566],"domain_scores_gemma":[0.9950826,0.0001109892,0.000493645,0.002778531,0.0005423988,0.0009918236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004013133,0.001436135,0.007181221,0.0004885625,0.002237872,0.0004192746,0.006473297,0.0003323513,0.9036439,0.00132784,0.04186487,0.03419337],"study_design_scores_gemma":[0.003267593,0.0008679385,0.003839342,0.0001374546,0.0006026261,0.0001780819,0.004742214,0.0003804456,0.3731137,0.001047641,0.6099971,0.001825914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413431,0.02173318,0.002221624,0.00302448,0.003582497,0.0006610732,0.0003495064,0.00009404596,0.02699052],"genre_scores_gemma":[0.9484582,0.01203653,0.004389272,0.003584295,0.003558093,0.00006742804,0.0008844279,0.000255907,0.02676586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5681322,"threshold_uncertainty_score":0.999473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009902783365135498,"score_gpt":0.2489226028793299,"score_spread":0.2390198195141943,"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."}}