{"id":"W3185206289","doi":"10.1111/ele.13843","title":"Demystifying individual heterogeneity","year":2021,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vital rates; Terminology; Population; Ecology; Variation (astronomy); Econometrics; Computer science; Biology; Population growth; Mathematics; Demography; Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002024267,0.0003458641,0.0007712474,0.00008405544,0.00010228,0.00002888666,0.0003873138,0.0006360381,0.00006254257],"category_scores_gemma":[0.00008190311,0.0003472607,0.000513542,0.0001123614,0.0001241174,0.000001158929,0.0003590369,0.0002913988,0.00008770907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004922437,"about_ca_system_score_gemma":0.0002270079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001512398,"about_ca_topic_score_gemma":0.0000825237,"domain_scores_codex":[0.9981635,0.0003244836,0.0003884414,0.0006260849,0.000106572,0.0003908941],"domain_scores_gemma":[0.9991598,0.00003158171,0.0002012282,0.0004806203,0.00002990212,0.00009686133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001063508,0.0003078065,0.001824381,0.005462293,0.005144814,0.0002962953,0.00003680747,0.0002838631,0.0008402872,0.0001695728,0.1234098,0.8622135],"study_design_scores_gemma":[0.0001341545,0.00004400936,0.0001816168,0.0002146575,0.000451021,0.0001952792,0.000003289171,0.000004056869,0.00001156112,0.000001425205,0.9984052,0.0003537576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001198972,0.9967719,0.0006665639,0.0001863636,0.0007023696,0.000260396,0.00007476348,0.00001879832,0.0001199184],"genre_scores_gemma":[0.00007641985,0.9938757,0.0008570451,0.002055221,0.0004219816,0.00006051559,0.002366488,0.00005476542,0.0002318094],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8749954,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03850782131255071,"score_gpt":0.331325239632196,"score_spread":0.2928174183196453,"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."}}