{"id":"W2064655548","doi":"10.1038/ncomms1183","title":"Predicting climate change impacts on polar bear litter size","year":2011,"lang":"en","type":"article","venue":"Nature Communications","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; World Wildlife Fund; University of Alberta; Canadian Wildlife Federation; National Science Foundation","keywords":"Litter; Climate change; Environmental science; Global warming; Ursus maritimus; Population; Population size; Ecology; Bay; Climatology; Atmospheric sciences; Physical geography; Arctic; Biology; Geography; Oceanography; Demography; Geology","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":[0.0008027423,0.0003869748,0.0002259465,0.0004667368,0.0001654103,0.000511643,0.0003107512,0.0005181251,0.0008033178],"category_scores_gemma":[0.001324638,0.0003017561,0.0005002088,0.0002461568,0.0001614569,0.0005746528,0.0004043741,0.0002851985,0.0001639156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005973915,"about_ca_system_score_gemma":0.0004536415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644393,"about_ca_topic_score_gemma":0.02173725,"domain_scores_codex":[0.9998944,0.0000414828,0.000005860149,0.00002637174,0.00001333959,0.00001854783],"domain_scores_gemma":[0.9995648,0.0001996908,0.0001047205,0.00004012807,0.00004729617,0.00004332986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009701027,0.00007098676,0.571795,0.00002767684,0.0001619499,0.00007638818,0.00003039378,0.4157749,0.001764849,0.0003311388,0.0004670003,0.00940272],"study_design_scores_gemma":[0.00002020489,0.00009645082,0.3783461,0.00001393471,0.00007872951,0.0000540745,0.00007587627,0.6183695,0.00127113,0.0009582805,0.0006960648,0.00001963068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944466,0.0001970524,0.003709168,0.0001600476,0.000012057,0.000008791375,0.0006402673,0.00006502654,0.0007609641],"genre_scores_gemma":[0.9975808,0.0001470472,0.001365446,0.00002323765,0.000007591838,0.000008554517,0.000701543,0.000005629908,0.0001602337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01644393,"threshold_uncertainty_score":0.03269643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567169366087421,"score_gpt":0.2915156716114565,"score_spread":0.2358439779505823,"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."}}