{"id":"W2123754821","doi":"10.1038/ncomms2098","title":"Food web expansion and contraction in response to changing environmental conditions","year":2012,"lang":"en","type":"article","venue":"Nature Communications","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ministry of Natural Resources and Forestry; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; New York State Department of Environmental Conservation","keywords":"Contraction (grammar); Computer science; Business; Medicine; Internal medicine","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":[0.0002523231,0.0001058785,0.0003571869,0.0004908836,0.0002569052,0.0005665006,0.0002830785,0.0004949102,0.002198944],"category_scores_gemma":[0.001038268,0.0002843355,0.0003137851,0.0002876985,0.0004753477,0.0004764471,0.0005069543,0.0004741645,0.000251559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227622,"about_ca_system_score_gemma":0.000146562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592896,"about_ca_topic_score_gemma":0.003866773,"domain_scores_codex":[0.9998977,0.00001849289,0.000009117738,0.00003163425,0.00001707196,0.00002603989],"domain_scores_gemma":[0.9995018,0.0001409401,0.00009799199,0.00008568388,0.00006576462,0.0001078471],"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":[0.002204341,0.0001721889,0.1320836,0.0001007583,0.0002000391,0.0003123857,0.0002803147,0.002836136,0.8404858,0.0004559344,0.0006736423,0.0201947],"study_design_scores_gemma":[0.00002258533,0.0001112939,0.9822851,0.000004191308,0.00002478582,0.0002109585,0.0001555821,0.006124104,0.01005537,0.0004200353,0.0005705536,0.00001540198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987755,0.00006343488,0.0004337562,0.00004069775,0.000005417551,0.00000426422,0.0001288417,0.00001484935,0.0005331693],"genre_scores_gemma":[0.9991024,0.00004738641,0.0002934196,0.00004315311,0.000005349163,0.00001013017,0.0001575188,0.00001577511,0.000324907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002198944,"threshold_uncertainty_score":0.007356167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083490121260772,"score_gpt":0.2743372858321169,"score_spread":0.2635023846195091,"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."}}