{"id":"W4387092121","doi":"10.1126/sciadv.adg8340","title":"Where to live? Landfast sea ice shapes emperor penguin habitat around Antarctica","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Nuclear Safety and Security Commission; Australian Government; National Aeronautics and Space Administration; National Science Foundation","keywords":"Habitat; Ecology; Metapopulation; Climate change; Sea ice; Charadriiformes; Geography; Physical geography; Geology; Oceanography; Biological dispersal; Biology; 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":[0.00009317951,0.000117191,0.00009009119,0.0005614924,0.0002755543,0.0006872237,0.0001412635,0.0001064603,0.003363809],"category_scores_gemma":[0.0003394632,0.00006719661,0.00008946776,0.0006810215,0.0002540665,0.0003094743,0.0002972026,0.0001293951,0.0004685268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881791,"about_ca_system_score_gemma":0.0001999578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294653,"about_ca_topic_score_gemma":0.08454948,"domain_scores_codex":[0.9999369,0.00002355002,0.000002550595,0.00001216238,0.000007814301,0.00001701893],"domain_scores_gemma":[0.9998494,0.00002187929,0.00005182492,0.000009292589,0.00002910885,0.00003848811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006895956,0.00001502722,0.9488627,0.00006715084,0.00005491134,0.0003406905,0.002326116,0.0002483549,0.003176181,0.000261451,0.002443692,0.04213471],"study_design_scores_gemma":[6.023571e-7,0.000005977754,0.9970824,0.00001052867,0.000007386357,0.00007506938,0.001492383,0.00006469571,0.00003202789,0.00005200261,0.001175025,0.000001789958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939751,0.0007642304,0.0001638659,0.0002091393,0.00001037619,0.000003705776,0.0004825096,0.000008422857,0.004382677],"genre_scores_gemma":[0.9985625,0.0004527392,0.00016495,0.00002541204,0.000007864757,0.000002361126,0.0002090813,0.00000440223,0.0005706624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02294653,"threshold_uncertainty_score":0.04562593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857590214160379,"score_gpt":0.2849811333302424,"score_spread":0.2664052311886387,"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."}}