{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005599603,0.00007626522,0.00009024686,0.0001558048,0.0002583707,0.0000103324,0.0002802563,0.00013817,0.0003394849],"category_scores_gemma":[0.0001369865,0.00008079765,0.00002296237,0.0003023631,0.0001270887,0.000268132,0.0004754611,0.0003805327,0.0002376485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402441,"about_ca_system_score_gemma":0.000004874785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007950614,"about_ca_topic_score_gemma":0.001218483,"domain_scores_codex":[0.9991364,0.0002618164,0.0001396309,0.0001278318,0.0001032019,0.0002310766],"domain_scores_gemma":[0.9989266,0.0003088717,0.00004500798,0.0006327512,0.000002427584,0.00008435272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001053016,0.0005156601,0.798708,0.000001161252,0.00002106506,8.936501e-7,0.00326346,0.000119027,0.1923078,0.001603377,0.001388913,0.001965304],"study_design_scores_gemma":[0.0002180016,0.00006421277,0.9428726,0.000004753817,0.00001549052,0.00001240998,0.0007443715,0.0004564212,0.0003840881,0.0000611866,0.05505446,0.0001120221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944607,0.0004773187,0.00002436907,0.00297633,0.00006901236,0.0002294746,0.00002433684,0.00001951739,0.001718918],"genre_scores_gemma":[0.9971019,0.000116297,0.001605534,0.0009139598,0.00001478257,0.00009215864,0.00003246779,0.00000847513,0.0001144248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1919237,"threshold_uncertainty_score":0.3717121,"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."}}