{"id":"W3088377684","doi":"10.38045/ohrm.2020.1.17","title":"Current issues related to access and use of information on ex situ conservation of plant genetic resources in the Republic of Moldova","year":2020,"lang":"en","type":"article","venue":"One Health & Risk Management","topic":"Soil and Environmental Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Ex situ conservation; Germplasm; Documentation; Environmental resource management; Genetic resources; Sustainable development; Information system; Business; Environmental planning; Computer science; Geography; Engineering; Environmental science; Ecology; Biology; Biotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949997,0.00005173414,0.0001236906,0.00001678515,0.00004374513,0.00001296547,0.00009674145,0.00001288396,0.000007615773],"category_scores_gemma":[0.00002103278,0.00002078816,0.00001446272,0.0002324232,0.00002830343,0.00009320718,0.0001047416,0.0000396279,0.000001664571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000112458,"about_ca_system_score_gemma":9.213718e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002912729,"about_ca_topic_score_gemma":0.0003033045,"domain_scores_codex":[0.9992676,0.00007511458,0.0003114597,0.00008663001,0.0001797165,0.0000794797],"domain_scores_gemma":[0.9996598,0.00005613059,0.0002100336,0.00003740024,0.000008843068,0.00002783005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001785848,0.0002338022,0.3673003,0.0003859156,0.00003082408,4.298139e-7,0.008411855,0.0005010742,0.00010569,0.0005891017,0.003209105,0.6190533],"study_design_scores_gemma":[0.000100921,0.0003698966,0.9717053,0.00006170979,0.000005880367,6.413475e-8,0.001105326,0.00009490221,0.00004909127,0.00009505702,0.02637985,0.0000320456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888541,0.0004334701,0.000001595594,0.01018788,0.00001276994,0.0003785996,0.00003258121,0.000004854155,0.00009416315],"genre_scores_gemma":[0.9920653,0.007103548,0.0000797032,0.0007074658,0.000005576627,0.00001136509,0.00002313714,2.876308e-7,0.000003586037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6190212,"threshold_uncertainty_score":0.4403194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746350900610938,"score_gpt":0.2668938807680468,"score_spread":0.2094303717619374,"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."}}