{"id":"W2125486891","doi":"10.1098/rspb.2011.0827","title":"Decomposing variation in population growth into contributions from environment and phenotypes in an age-structured population","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Population; Population growth; Density dependence; Population size; Population density; Ecology; Biology; Population ecology; Demography; Natural population growth; Life history theory; Geography; Life history","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":[0.00350977,0.0003581979,0.0004020141,0.0008484866,0.0002255058,0.0006212827,0.0003659624,0.0002706582,0.0003921092],"category_scores_gemma":[0.004932779,0.0002127885,0.0006774286,0.0005159257,0.0005787828,0.0005939815,0.0005798739,0.000425679,0.00009994442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319435,"about_ca_system_score_gemma":0.0003145945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003156873,"about_ca_topic_score_gemma":0.007465016,"domain_scores_codex":[0.9994117,0.0002893995,0.00002788355,0.0001705711,0.00005379926,0.00004657674],"domain_scores_gemma":[0.9971145,0.0016646,0.0003854514,0.0004396078,0.0002494007,0.0001464133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428262,0.00005329497,0.9339531,0.00002198233,0.0004763067,0.0001230112,0.0004288625,0.02395026,0.01226377,0.00175146,0.0001412365,0.02669382],"study_design_scores_gemma":[0.0000098198,0.00009474176,0.8183867,0.000007777685,0.000128752,0.0001468481,0.0001608864,0.1765219,0.0006147354,0.003645865,0.0002618115,0.00002015374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855273,0.00005729586,0.01404431,0.00003541012,0.000004027426,0.000008361519,0.00005755648,0.00002212331,0.0002436167],"genre_scores_gemma":[0.9958268,0.00004261432,0.003767014,0.00001800472,0.000006797851,0.00001031531,0.0001876413,0.000009031164,0.0001317448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00350977,"threshold_uncertainty_score":0.01856166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718787318031391,"score_gpt":0.2234115211847958,"score_spread":0.2062236480044819,"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."}}