{"id":"W2150045334","doi":"10.1111/brv.12214","title":"The positive correlation between maternal size and offspring size: fitting pieces of a life‐history puzzle","year":2015,"lang":"en","type":"review","venue":"Biological reviews/Biological reviews of the Cambridge Philosophical Society","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Generality; Offspring; Mechanism (biology); Correlation; Population; Maternal effect; Life history theory; Function (biology); Econometrics; Statistics; Evolutionary biology; Biology; Psychology; Mathematics; Life history; Demography; Ecology; Pregnancy; Genetics; Physics","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":[0.006117603,0.001426265,0.002115358,0.002343561,0.00101949,0.004003608,0.003948736,0.00450713,0.004553245],"category_scores_gemma":[0.01806669,0.000983505,0.001619689,0.002311419,0.006680338,0.01191923,0.003605096,0.005399238,0.001532407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008950867,"about_ca_system_score_gemma":0.0007641281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084078,"about_ca_topic_score_gemma":0.001782533,"domain_scores_codex":[0.9986334,0.0003552587,0.0001524825,0.0005659159,0.0001892636,0.0001035472],"domain_scores_gemma":[0.9821791,0.01229795,0.002336988,0.001829923,0.0007865187,0.0005694266],"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":[0.0008638467,0.0005480769,0.2637467,0.00333222,0.003442238,0.004791071,0.005239339,0.04786567,0.009303852,0.2505192,0.02024241,0.3901054],"study_design_scores_gemma":[0.00006638381,0.0002630202,0.1161783,0.0006285271,0.000379935,0.002327006,0.002574547,0.04304692,0.000754508,0.8176712,0.01582734,0.0002823865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5662817,0.08298229,0.1658019,0.155753,0.001343142,0.0001001174,0.001296353,0.0008230157,0.02561825],"genre_scores_gemma":[0.9095144,0.03309542,0.02808928,0.02197755,0.002624998,0.0001054016,0.001040151,0.0003413417,0.003211372],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006117603,"threshold_uncertainty_score":0.03235334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201629765581587,"score_gpt":0.3030695763596877,"score_spread":0.1829065998015291,"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."}}