{"id":"W7138882419","doi":"10.5061/dryad.tmpg4f547","title":"Where to live? Landfast sea ice shapes emperor penguin habitat around Antarctica","year":2023,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Office of Polar Programs; National Aeronautics and Space Administration; National Science Foundation","keywords":"Habitat; Sea ice; Emperor; Circumpolar star; Climate change; Satellite tracking; Satellite imagery","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":[0.0002226459,0.0004314123,0.0004160564,0.001363417,0.0003321591,0.0007979224,0.0006364766,0.0003425246,0.01173043],"category_scores_gemma":[0.001131088,0.0001897303,0.0003919921,0.002690834,0.0001449452,0.0004269465,0.0007490274,0.0003826425,0.005174747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664908,"about_ca_system_score_gemma":0.0004048773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07641654,"about_ca_topic_score_gemma":0.141845,"domain_scores_codex":[0.9998603,0.00003034316,0.00001870008,0.00004195411,0.00001674382,0.00003197351],"domain_scores_gemma":[0.9996262,0.00007582188,0.000107075,0.00004518861,0.00009255173,0.00005306843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000342802,0.00004126285,0.2764916,0.001150739,0.0002930036,0.0003002898,0.0005135321,0.001558827,0.0004489558,0.0007523843,0.7035159,0.01459067],"study_design_scores_gemma":[0.0002108908,0.00002644988,0.7672703,0.0006573302,0.0001391845,0.000370771,0.001587286,0.001759648,0.0002249419,0.0007110644,0.2269949,0.0000471418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02174653,0.0003444516,0.0000783055,0.0002569209,0.00002564588,0.000007575496,0.9760701,0.0000631285,0.001407351],"genre_scores_gemma":[0.06543437,0.0003921821,0.0004563026,0.000112055,0.00002547101,0.00007637824,0.9321585,0.00003790879,0.001306881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07641654,"threshold_uncertainty_score":0.1519435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533056016316024,"score_gpt":0.2967828408523882,"score_spread":0.2714522806892279,"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."}}