{"id":"W3005881615","doi":"10.1098/rsbl.2019.0707","title":"Trade-off between offspring mass and number: the lightest offspring bear the costs","year":2020,"lang":"en","type":"article","venue":"Biology Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Offspring; Litter; Biology; Trade-off; Life history theory; Ecology; Zoology; Life history; Genetics; Pregnancy","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":[0.0006347289,0.0001444923,0.0002878974,0.0005075313,0.0002872473,0.0006293128,0.0002791928,0.0003308478,0.001590834],"category_scores_gemma":[0.001833689,0.0001691654,0.0001457544,0.0001658511,0.0006064938,0.0004111099,0.0005674062,0.0002900696,0.0002086086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069879,"about_ca_system_score_gemma":0.00007887668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004452084,"about_ca_topic_score_gemma":0.001653897,"domain_scores_codex":[0.9998103,0.00005944731,0.00001449093,0.0000505141,0.00003684833,0.000028379],"domain_scores_gemma":[0.9981384,0.0009057596,0.0004899445,0.0001573998,0.00009464812,0.000213833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006839381,0.00005671336,0.9245052,0.00003683696,0.0001046313,0.0003343108,0.0002010094,0.001434756,0.06167829,0.0008380408,0.0001092527,0.01001712],"study_design_scores_gemma":[0.00000425052,0.0001071901,0.995919,0.000004137913,0.000018913,0.0003850019,0.0001347509,0.0008199916,0.001917253,0.0005786073,0.0001066372,0.000004315624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993386,0.00005827866,0.0001615268,0.00001810251,0.000001509727,4.32206e-7,0.00001701063,0.000002264317,0.0004022346],"genre_scores_gemma":[0.9997148,0.00001146149,0.0001163993,0.000006497042,0.00000414754,7.187439e-7,0.00001383771,0.000001590751,0.000130515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001590834,"threshold_uncertainty_score":0.00532192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445815963450608,"score_gpt":0.2153489850786592,"score_spread":0.2008908254441532,"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."}}