{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001837777,0.00007165118,0.0001559854,0.00001390857,0.0002310308,0.000006869285,0.00007878318,0.000037495,0.0001744661],"category_scores_gemma":[0.0002513977,0.00006198434,0.00001246445,0.00000785427,0.0005539746,0.00008267321,0.0003957487,0.00005800263,0.00003792557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647719,"about_ca_system_score_gemma":0.000001471043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001050094,"about_ca_topic_score_gemma":0.005119587,"domain_scores_codex":[0.9994726,0.00008737694,0.0001000263,0.0001824177,0.00003231539,0.0001253139],"domain_scores_gemma":[0.9994586,0.000268876,0.0001301625,0.0001122349,0.000004917783,0.00002519744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006824483,0.00007462411,0.9947743,0.00002454462,0.00009439226,0.000004172718,0.000207277,1.75055e-7,0.0008698958,0.001835048,0.001482507,0.0005648604],"study_design_scores_gemma":[0.0008025962,0.0006963743,0.9950782,0.000003427473,0.00002162531,7.860116e-7,0.00007121871,0.000003556572,0.002166257,0.0007541708,0.0003408778,0.00006088431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902518,0.0000125186,0.000005863728,0.0008130173,0.0002023849,0.0002373362,0.000003439126,0.000005572418,0.008468031],"genre_scores_gemma":[0.9988903,0.00007358893,0.00003619231,0.0006844987,0.00000565563,0.00002308493,8.432817e-7,0.00000287609,0.0002828923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008638531,"threshold_uncertainty_score":0.285685,"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."}}