{"id":"W2914073885","doi":"10.1098/rsbl.2019.0070","title":"How many cubs can a mum nurse? Maternal age and size influence litter size in polar bears","year":2019,"lang":"en","type":"article","venue":"Biology Letters","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"World Wildlife Fund","keywords":"Biology; Litter; Ursus maritimus; Reproduction; Affect (linguistics); Avian clutch size; Reproductive success; Life history theory; Ecology; Zoology; Demography; Life history; Population","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":[0.0004149264,0.0000826649,0.0001191428,0.0001934357,0.0001500948,0.000212172,0.0001261782,0.0001753484,0.0008654313],"category_scores_gemma":[0.00124489,0.0001103109,0.00009630037,0.0001013334,0.0002218337,0.0002105066,0.0001765267,0.0001249823,0.000143389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024709,"about_ca_system_score_gemma":0.00007565076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403147,"about_ca_topic_score_gemma":0.006660276,"domain_scores_codex":[0.9998933,0.00004653466,0.000005945505,0.00002538115,0.00001259807,0.00001616005],"domain_scores_gemma":[0.9993407,0.000279092,0.0002431972,0.00003455638,0.00002757982,0.00007482502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007825632,0.00001679385,0.9936798,0.000005744922,0.00002223055,0.00007458501,0.0001948642,0.00006361708,0.001115151,0.00003389877,0.00009897432,0.00461612],"study_design_scores_gemma":[3.753629e-7,0.00002437384,0.9994848,0.000002353276,0.000006931244,0.00008016071,0.0001452104,0.0000832121,0.0000645013,0.00003120677,0.00007600495,8.275648e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994258,0.0002147378,0.00004290334,0.00004205309,0.000004051505,7.307833e-7,0.00002096407,0.000001135058,0.0002476569],"genre_scores_gemma":[0.9995547,0.0001613301,0.00006528735,0.00001752854,0.00001359774,0.000001355942,0.00002917593,0.000001150594,0.0001558954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002403147,"threshold_uncertainty_score":0.004778326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005231455190811769,"score_gpt":0.2016615599028821,"score_spread":0.1964301047120703,"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."}}