{"id":"W2735993340","doi":"10.1002/ecs2.1862","title":"Size and variation in individual growth rates among food web modules","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; McGill University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Food web; Trophic level; Zooplankton; Biology; Food chain; Ecology; Predator; Intraguild predation; Competition (biology); Omnivore; Apex predator; Predation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002394055,0.00007968459,0.0001164318,0.000007798117,0.0001851346,0.00008772909,0.0002722828,0.00007232831,0.003672892],"category_scores_gemma":[0.0002513917,0.00007643861,0.00001974309,0.00004589372,0.0001453213,0.0003932553,0.0002746758,0.00008531596,0.0002900304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004790847,"about_ca_system_score_gemma":0.000004634089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004130785,"about_ca_topic_score_gemma":0.03482287,"domain_scores_codex":[0.9993357,0.00004277328,0.0001254036,0.0002246428,0.0001031105,0.0001683912],"domain_scores_gemma":[0.99955,0.00006593545,0.0001068629,0.0002375958,0.000003592754,0.00003594126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002794504,0.00003171897,0.9959856,0.000002265378,0.00001541588,0.000004314261,0.0002620998,0.0001391095,0.0004024276,0.0002151626,0.001907539,0.001031597],"study_design_scores_gemma":[0.0002904415,0.00003446633,0.9929122,0.000003267701,0.00001157771,9.570361e-7,0.00003959525,0.001898272,0.0002121924,0.004273746,0.0002311968,0.00009213181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651424,0.00001862307,0.00001546366,0.0002691442,0.00005886846,0.00009028109,0.000004561608,0.00001071262,0.03438989],"genre_scores_gemma":[0.9980565,0.00002465477,0.001154326,0.00006930256,0.0000252051,0.00001471591,0.000001129929,0.000007327733,0.0006468628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03440979,"threshold_uncertainty_score":0.9972379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008758940575409489,"score_gpt":0.2196899268189528,"score_spread":0.2109309862435433,"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."}}