{"id":"W2805868202","doi":"10.1002/ece3.4028","title":"Caught in the web: Spider web architecture affects prey specialization and spider–prey stoichiometric relationships","year":2018,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Pontificia Universidad Católica del Ecuador; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Predation; Trophic level; Food web; Spider; Biology; Ecology; Generalist and specialist species; Orb (optics); Predator; Computer science; Habitat","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":[0.0001919718,0.0002697588,0.0003348792,0.0005525777,0.0002420835,0.0006865345,0.0001927982,0.0003479165,0.00162416],"category_scores_gemma":[0.0006872208,0.0002598285,0.0002865097,0.000271263,0.0002997806,0.000493244,0.0005314795,0.0002828823,0.0002187191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266325,"about_ca_system_score_gemma":0.000173828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162785,"about_ca_topic_score_gemma":0.002566537,"domain_scores_codex":[0.9998759,0.00003268023,0.00001170909,0.0000371391,0.00002108908,0.00002145489],"domain_scores_gemma":[0.9995128,0.0001244539,0.0001633619,0.00004264404,0.00004201799,0.0001147397],"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":[0.0005808608,0.0002148202,0.3611718,0.0001866333,0.0003564472,0.0004239947,0.0001575333,0.002943988,0.6247316,0.0005605347,0.0001726107,0.00849914],"study_design_scores_gemma":[0.00001394462,0.0001480433,0.9775733,0.000007535337,0.0000867583,0.000365686,0.0001218827,0.01120289,0.009484176,0.0006923366,0.0002892139,0.00001422278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991977,0.00007624654,0.0003351573,0.0000110456,0.000001122457,0.000002314934,0.00004212549,0.000008262299,0.0003261065],"genre_scores_gemma":[0.9995475,0.00002804957,0.0002579545,0.00001216214,0.000001160554,0.000002493618,0.00004799669,0.000003747736,0.00009873785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00162416,"threshold_uncertainty_score":0.005433381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307785061581133,"score_gpt":0.2190166190617077,"score_spread":0.1859387684458964,"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."}}