{"id":"W2913535802","doi":"10.1007/s10722-019-00741-5","title":"N.C. Karafyllis (ed.): Theorien der Lebendsammlung—Pflanzen, Mikroben und Tiere als Biofakte in Genbanken. [Theories of living collections—plants, microbes and animals as biofacts in genebanks]","year":2019,"lang":"de","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004213892,0.0004781031,0.0005632223,0.0004288379,0.0002230613,0.0001670764,0.000235295,0.00047174,0.0001298684],"category_scores_gemma":[0.0001782495,0.0005027803,0.0001277915,0.0003878252,0.0004569011,0.00001963363,0.0002698279,0.0001818763,0.00001696249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007266476,"about_ca_system_score_gemma":0.0002077932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545783,"about_ca_topic_score_gemma":0.0008249301,"domain_scores_codex":[0.996933,0.0003843418,0.0008174029,0.0009631509,0.0002531069,0.0006490296],"domain_scores_gemma":[0.9986675,0.0001177675,0.0003255868,0.0005052715,0.0001519778,0.0002319338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001345815,0.0005329458,0.6610758,0.001022693,0.0004096894,0.00002387447,0.002585932,0.0007043338,0.3277567,0.0004804902,0.001334812,0.002726909],"study_design_scores_gemma":[0.004154143,0.002188119,0.8766173,0.001753008,0.0005753815,0.0001090261,0.004672359,0.0007779006,0.05053969,0.005313181,0.05147778,0.001822073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7343717,0.2640802,0.00007057229,0.00007361203,0.0002107534,0.0005687337,0.0002467871,0.000008925208,0.000368802],"genre_scores_gemma":[0.9557487,0.04247081,0.0003748611,0.0000808967,0.0002956846,0.00002983967,0.00007332894,0.00005177328,0.0008740491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.277217,"threshold_uncertainty_score":0.9997424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003005657472427129,"score_gpt":0.2151869144799831,"score_spread":0.2121812570075559,"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."}}