{"id":"W3004527503","doi":"10.1086/708546","title":"A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments","year":2020,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"TRACER; Ecosystem; Computer science; Isotope analysis; Bayesian probability; Markov chain; Food web; Food chain; Environmental science; Ecology; Biological system; Machine learning; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005199567,0.001107931,0.001044753,0.003286079,0.0009162448,0.00125594,0.001760569,0.001255761,0.002244491],"category_scores_gemma":[0.01346726,0.001175956,0.001258796,0.001917624,0.001765429,0.002069066,0.00180567,0.002851528,0.0004464792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412038,"about_ca_system_score_gemma":0.001936346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008516137,"about_ca_topic_score_gemma":0.01029141,"domain_scores_codex":[0.9979982,0.0007511644,0.0001206804,0.0004922964,0.0005572122,0.00008049834],"domain_scores_gemma":[0.9936789,0.00372258,0.0008565082,0.001002003,0.00060328,0.0001366991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005124777,0.0003994878,0.0359866,0.0006005948,0.0007849165,0.0003695817,0.0008621759,0.2120249,0.148665,0.1567705,0.003192057,0.4398318],"study_design_scores_gemma":[0.0001065585,0.0001792236,0.009126573,0.00007191244,0.0001371985,0.0004000058,0.00009625278,0.8680107,0.02733731,0.07908668,0.01526581,0.0001817861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004164344,0.000059035,0.9944641,0.00004034331,0.00002363605,0.00004146119,0.0001513686,0.0005361935,0.0005195331],"genre_scores_gemma":[0.04863091,0.0001239213,0.9491999,0.00006957757,0.00003213713,0.0004065257,0.0002868372,0.0002594622,0.0009906718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008516137,"threshold_uncertainty_score":0.02749825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214683662813075,"score_gpt":0.3029597327041182,"score_spread":0.2808128960759874,"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."}}