{"id":"W4387907471","doi":"10.3390/f14112120","title":"Root Fragment Amendments Increase Nematode Density and Mycobiome Stochasticity in Douglas-Fir Seedlings","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Biology; Shoot; Botany; Douglas fir; Dipterocarpaceae; Biomass (ecology); Glomeromycota; Horticulture; Agronomy; Mycorrhiza; Symbiosis","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":[0.0002022644,0.0004311405,0.0004572897,0.0001913718,0.0002214375,0.0004491283,0.0002823346,0.0002993568,0.0009217726],"category_scores_gemma":[0.0002685146,0.0002373289,0.0002575738,0.0001087959,0.0001391024,0.0002578539,0.000305753,0.0006020915,0.0002067489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006792422,"about_ca_system_score_gemma":0.0003527756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00876901,"about_ca_topic_score_gemma":0.018766,"domain_scores_codex":[0.9998046,0.00001932226,0.0000183452,0.00007586572,0.00003430288,0.00004761889],"domain_scores_gemma":[0.9996043,0.00007250384,0.00009600821,0.00002363365,0.00005746865,0.000146142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003570904,0.00009542983,0.008802122,0.0001087988,0.00002467043,0.00007471732,0.00006253405,0.0001480275,0.9882167,0.00002473637,0.00005405821,0.002031148],"study_design_scores_gemma":[0.00009016103,0.003228707,0.6570343,0.0000584034,0.0001196074,0.0002242949,0.0005871379,0.003225461,0.3312773,0.000101419,0.00400683,0.00004617618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988223,0.0003877828,0.0001329733,0.00002232958,0.000007693544,0.000007920998,0.0002225408,0.00002462141,0.0003716897],"genre_scores_gemma":[0.9977406,0.0002462736,0.0004581039,0.00007669021,0.000005021724,0.00002444473,0.000480334,0.00001199279,0.0009564671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00876901,"threshold_uncertainty_score":0.01743591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566305265147313,"score_gpt":0.2290305548686083,"score_spread":0.2133675022171352,"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."}}