{"id":"W6929816103","doi":"10.5061/dryad.3j9kd51g4","title":"Climate change and defoliation interact to affect root length across northern temperate grasslands","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta","funders":"","keywords":"Biomass (ecology); Temperate climate; Grassland; Root system; Climate change; Precipitation; Phenology; Productivity; Primary production; Root (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006254584,0.0002897619,0.0006048126,0.0006029931,0.0002998181,0.0003326712,0.0002466057,0.0003487766,0.0004648135],"category_scores_gemma":[0.0004332708,0.0001522861,0.0003668017,0.0004355481,0.00036589,0.0002403862,0.000395956,0.0002290835,0.00007121322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496096,"about_ca_system_score_gemma":0.0002602887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007364738,"about_ca_topic_score_gemma":0.01522686,"domain_scores_codex":[0.9997025,0.00008684761,0.00002355551,0.0001054015,0.00004206281,0.00003959116],"domain_scores_gemma":[0.9993475,0.0002105189,0.0001888528,0.00006698776,0.00007692001,0.0001092183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006119318,0.0001320697,0.6027256,0.0001501514,0.0003489306,0.0002150337,0.0006007116,0.001044858,0.3860783,0.00005203147,0.00008271202,0.007957665],"study_design_scores_gemma":[0.000001475574,0.00003964362,0.999461,6.378912e-7,0.000009566923,0.0000176666,0.00002955787,0.0001575074,0.0002424694,0.000005331425,0.00003294961,0.000002102805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9995958,0.0001080671,0.0001165503,0.000007234599,9.262591e-7,0.000003422024,0.00008562177,0.000008345688,0.00007399227],"genre_scores_gemma":[0.999318,0.00006516802,0.0002755363,0.00001885772,0.00000228231,0.00001126387,0.0002216185,0.000005457377,0.00008179891],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.007364738,"threshold_uncertainty_score":0.01464379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04603229537122425,"score_gpt":0.3115719531552721,"score_spread":0.2655396577840479,"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."}}