{"id":"W2594542971","doi":"10.1002/ecy.1795","title":"Interactive effects of genotype and food quality on consumer growth rate and elemental content","year":2017,"lang":"en","type":"article","venue":"Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Daphnia; Biology; Ecological stoichiometry; Adaptation (eye); Ecology; Trait; Ecosystem; Population; Cladocera; Genetic variation; Zoology; Crustacean; Gene; Demography; Genetics","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":[0.0003968708,0.0002660724,0.0003458666,0.000377028,0.0002463341,0.0005112474,0.0002111925,0.0002500196,0.001118896],"category_scores_gemma":[0.0007208092,0.0002333691,0.0002129487,0.0002680966,0.0004936946,0.0002844547,0.0006276255,0.0003120551,0.0001022434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367154,"about_ca_system_score_gemma":0.0002496618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921239,"about_ca_topic_score_gemma":0.009504854,"domain_scores_codex":[0.9996021,0.0001583754,0.00002282975,0.0001218024,0.00005159465,0.00004327849],"domain_scores_gemma":[0.9989284,0.0005845447,0.000178644,0.00009584718,0.00005831099,0.0001542825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001829287,0.0002442337,0.5246958,0.00008425364,0.0005917721,0.0003392826,0.0004700753,0.0007559129,0.4623646,0.0002397276,0.000181657,0.008203475],"study_design_scores_gemma":[0.000004641638,0.0001167962,0.9970367,0.000001466841,0.00003618031,0.0000496386,0.00006188409,0.0006344259,0.001907102,0.00005404971,0.00009158277,0.000005489237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996058,0.00005113594,0.0001604084,0.000007151088,0.000001168146,0.000002279454,0.00005010597,0.000005635486,0.0001161329],"genre_scores_gemma":[0.9994016,0.00002264184,0.0002840136,0.00001528894,9.600805e-7,0.00000487738,0.00005931872,0.000007830798,0.0002035175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002921239,"threshold_uncertainty_score":0.005808413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203244240091412,"score_gpt":0.2625040969116667,"score_spread":0.2421796729025255,"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."}}