{"id":"W2950504866","doi":"10.1101/532945","title":"How many cubs can a mum raise? Maternal age and size influence litter size in polar bears","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Litter; Ursus maritimus; Reproduction; Affect (linguistics); Biology; Life history theory; Reproductive success; Demography; Ecology; Life history; Psychology; 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":[0.0004221932,0.00008411949,0.0001400911,0.0001920723,0.0001317461,0.0002529506,0.0001058752,0.0001661514,0.001363795],"category_scores_gemma":[0.001067489,0.0001111017,0.0001068211,0.0001109118,0.0001697042,0.0001874312,0.0001521926,0.000145634,0.0001607494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007602226,"about_ca_system_score_gemma":0.00006355127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562147,"about_ca_topic_score_gemma":0.003806315,"domain_scores_codex":[0.9998906,0.00004323363,0.000005662458,0.00002979255,0.00001318949,0.00001744002],"domain_scores_gemma":[0.9993579,0.0002828664,0.0002199834,0.00003602347,0.00003022152,0.00007293879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001183765,0.00002592507,0.9938421,0.000007297817,0.00003216556,0.00007669539,0.0001612923,0.00007034637,0.001687292,0.00003550509,0.0001341786,0.003808823],"study_design_scores_gemma":[4.489175e-7,0.00002197311,0.9995174,0.000002611695,0.000006852179,0.00005808732,0.0001165191,0.00007946762,0.000101914,0.00002991551,0.00006383003,8.109179e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994025,0.000169309,0.0000565572,0.00003991805,0.000004862898,8.311015e-7,0.00005750003,0.000001383665,0.000267066],"genre_scores_gemma":[0.9995605,0.0001089974,0.00005489799,0.00001443509,0.00001250696,0.000001628919,0.00006406686,0.000001530015,0.0001814271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001562147,"threshold_uncertainty_score":0.004562318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00855743110884827,"score_gpt":0.1958260783936003,"score_spread":0.187268647284752,"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."}}