{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000240759,0.000124338,0.0001130437,0.00001686365,0.0004027486,0.00001564699,0.0009637862,0.0001310267,0.001219778],"category_scores_gemma":[0.0002154239,0.0001083342,0.00005769697,0.0002285862,0.0001262031,0.0001858955,0.001726658,0.0006710573,0.0008013686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009925151,"about_ca_system_score_gemma":0.000002675344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698658,"about_ca_topic_score_gemma":0.006226381,"domain_scores_codex":[0.9991225,0.00009044907,0.0001522277,0.000182696,0.0001797178,0.0002724333],"domain_scores_gemma":[0.9983488,0.0001607641,0.00008662613,0.001307772,0.00001245421,0.00008356007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001514715,0.0002072207,0.9837382,0.0000101921,0.00002006967,0.000001920007,0.00191411,1.577581e-7,0.00009368546,0.002150768,0.0042714,0.007577088],"study_design_scores_gemma":[0.00009079306,0.00006335388,0.9149292,0.00002713003,0.00001593591,0.000002380843,0.00005703789,0.00003403924,0.00005773918,0.0001099284,0.08450328,0.000109218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3523701,0.003838347,0.000001037003,0.006293769,0.000161067,0.0006557484,0.00006651942,0.0002083555,0.6364051],"genre_scores_gemma":[0.9901797,0.002232327,0.002715822,0.004682868,0.00004702559,0.00005346084,0.000008457982,0.00001673083,0.0000635914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6378096,"threshold_uncertainty_score":0.9999766,"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."}}