{"id":"W6959412914","doi":"10.7916/d8-43rg-fr73","title":"Oral history interview with Helena Hernmarck 1987","year":2019,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oral history; Exhibition; Project commissioning; State (computer science); Work (physics); Publishing","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":[0.001118928,0.0005085281,0.0004617656,0.001052323,0.004523619,0.001629721,0.0006266076,0.002364058,0.1731578],"category_scores_gemma":[0.005635917,0.0003588355,0.0001304352,0.001059479,0.0006866948,0.00253219,0.001821942,0.003941027,0.04479617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002231772,"about_ca_system_score_gemma":0.002631379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02933131,"about_ca_topic_score_gemma":0.06681065,"domain_scores_codex":[0.9994581,0.0002224774,0.00003541175,0.00006183881,0.00009584069,0.0001263287],"domain_scores_gemma":[0.998507,0.0006266861,0.000092831,0.00003133787,0.0004772827,0.0002647931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001882014,0.00002545908,0.0003576126,0.00006273492,6.211181e-7,0.0003352716,0.01107071,0.00001711522,0.0001166798,0.001834444,0.9783003,0.007860293],"study_design_scores_gemma":[0.000003919968,0.00000819401,0.001874879,0.0001901054,6.332054e-7,0.0001393276,0.02709655,0.00002145651,0.0000505158,0.0004149636,0.9701909,0.000008645393],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02338158,0.01682402,0.001238606,0.297019,0.02383839,0.0009707389,0.01190692,0.0001771621,0.6246436],"genre_scores_gemma":[0.04254404,0.008350804,0.0006118882,0.05733761,0.001563211,0.00178728,0.001624366,0.000149501,0.8860313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1731578,"threshold_uncertainty_score":0.5792706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787109246938437,"score_gpt":0.1958508067312001,"score_spread":0.1779797142618157,"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."}}