{"id":"W2140936002","doi":"10.1007/s00468-015-1168-5","title":"Genotypic differences explain most of the response of willow cultivars to petroleum-contaminated soil","year":2015,"lang":"en","type":"article","venue":"Trees","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Génome Québec; Genome Canada","keywords":"Willow; Phytoremediation; Cultivar; Cutting; Biomass (ecology); Randomized block design; Soil contamination; Biology; Agronomy; Contamination; Environmental science; Horticulture; Botany; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609071,0.00007492866,0.0001217,0.0000129338,0.00005049685,0.000009188603,0.0002527141,0.00003077279,0.00006184198],"category_scores_gemma":[0.0001099231,0.00002237227,0.00004431825,0.000283569,0.00008070588,0.00003473218,0.00009846672,0.00003338385,0.000007153559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382305,"about_ca_system_score_gemma":0.000008349767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006681908,"about_ca_topic_score_gemma":0.001943979,"domain_scores_codex":[0.999274,0.0001416309,0.0001492383,0.0001446535,0.0001795143,0.000111028],"domain_scores_gemma":[0.9996688,0.00004531875,0.00007887286,0.00007990708,0.00007071449,0.00005638561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008903012,0.0002175024,0.02721091,0.00000699355,0.00003774985,0.000001149683,0.00109656,0.0001556615,0.9134111,0.0007861587,0.005589134,0.05059672],"study_design_scores_gemma":[0.0001788592,0.0003748924,0.9023769,0.00002030375,0.00001031622,7.668772e-7,0.002436959,0.00002841534,0.07591976,0.00009315801,0.0184717,0.00008797579],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953845,0.00006342775,0.000003532869,0.003888899,0.0001382638,0.00008785358,0.00001094833,0.00001878853,0.0004038321],"genre_scores_gemma":[0.9956057,0.000007820234,0.0000331518,0.0001248942,0.00003325233,0.000007762143,0.000002950852,4.959246e-7,0.004183993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.875166,"threshold_uncertainty_score":0.1084786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844112164567952,"score_gpt":0.2123871444729599,"score_spread":0.1839460228272803,"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."}}