{"id":"W3005184946","doi":"10.1002/ecs2.3018","title":"Effects of species traits, motif profiles, and environment on spatial variation in multi‐trophic antagonistic networks","year":2020,"lang":"en","type":"article","venue":"Ecosphere","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Trophic level; Ecology; Ecological network; Food web; Community; Spatial variability; Community structure; Interaction network; Spatial ecology; Biology; Ecosystem","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":[0.002049757,0.0002418283,0.0003771781,0.001618856,0.0005163621,0.000868544,0.0004117609,0.0003491937,0.001482228],"category_scores_gemma":[0.007330981,0.000210574,0.0004867977,0.001194108,0.0006659336,0.0007270645,0.0009382524,0.0004811986,0.0001216256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804058,"about_ca_system_score_gemma":0.0001851968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567239,"about_ca_topic_score_gemma":0.005196169,"domain_scores_codex":[0.9988266,0.0004827911,0.00009399666,0.0003765606,0.0001152182,0.000104833],"domain_scores_gemma":[0.9895579,0.006159147,0.002044267,0.0009426172,0.0005266024,0.0007694056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00044952,0.00004482283,0.9795839,0.00003975118,0.000600129,0.0001268897,0.0002445723,0.003558924,0.01034375,0.0003133882,0.0001214722,0.004572875],"study_design_scores_gemma":[0.000005337391,0.000076803,0.9820408,0.000006082942,0.00007100671,0.0001402683,0.0001603425,0.016524,0.0004455264,0.000379093,0.0001382442,0.00001247826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992292,0.00004297671,0.0004731277,0.000007646285,9.824772e-7,0.000001652235,0.0001116441,0.000009578597,0.000123243],"genre_scores_gemma":[0.9996105,0.000008259283,0.0002228243,0.000003134028,9.223835e-7,0.000002589001,0.0001123885,0.000005516696,0.00003385483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002567239,"threshold_uncertainty_score":0.0108403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137724142121266,"score_gpt":0.166335702340598,"score_spread":0.1449584609193853,"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."}}