{"id":"W2741270017","doi":"10.2135/cropsci2017.01.0014","title":"The Vulnerability of Plant Genetic Resources Conserved Ex Situ","year":2017,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"Agriculture and Agri-Food Canada","keywords":"Genetic erosion; Biology; Germplasm; Ex situ conservation; Sustainability; Agriculture; Vulnerability (computing); Food security; Genetic resources; Agroforestry; Biotechnology; Environmental resource management; Genetic diversity; Ecology; Agronomy; Endangered species; Economics; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00236392,0.0001876113,0.0003644867,0.0007336295,0.0009568116,0.002136396,0.0007222855,0.001117023,0.001260916],"category_scores_gemma":[0.002343898,0.0002066255,0.0002869274,0.001072392,0.001135147,0.003409305,0.001348649,0.001168952,0.0004372862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049174,"about_ca_system_score_gemma":0.0009832573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532124,"about_ca_topic_score_gemma":0.002788637,"domain_scores_codex":[0.9989412,0.0002458899,0.00008959627,0.0003228011,0.0002934002,0.0001071521],"domain_scores_gemma":[0.9977716,0.0007906951,0.0007869905,0.000332777,0.0002306533,0.00008741987],"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":[0.0003114066,0.0001092617,0.04120473,0.00215599,0.0002370943,0.00576184,0.005175484,0.007168966,0.3150093,0.04779856,0.00611405,0.5689533],"study_design_scores_gemma":[0.00002465586,0.0005391313,0.0812922,0.001816508,0.000388878,0.01715015,0.01249792,0.003655971,0.1461451,0.05081844,0.6854751,0.0001959192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6970621,0.1427878,0.09531969,0.01357015,0.001190485,0.00009803878,0.001000058,0.0003878174,0.0485839],"genre_scores_gemma":[0.8910663,0.06289765,0.03150243,0.002802036,0.0002202784,0.00008119069,0.001003923,0.0001134122,0.01031277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00236392,"threshold_uncertainty_score":0.01250178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131115561335274,"score_gpt":0.2825628963965146,"score_spread":0.2312517407831619,"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."}}