{"id":"W6892073294","doi":"10.5061/dryad.2jm63xsqh","title":"Data from: Environmental drivers of population-level variation in the migratory and diving ontogeny of an Arctic top predator","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Natural Environment Research Council","keywords":"Arctic; Foraging; Ontogeny; Apex predator; Predation; Sea ice; Predator; Forage","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000244579,0.0002303838,0.0002992431,0.0001762369,0.00007656155,0.00003080211,0.001387638,0.0001544821,0.3186331],"category_scores_gemma":[0.00102428,0.0002242378,0.0000362229,0.0001534168,0.00001287248,0.000501534,0.001081399,0.0003379124,0.0001558178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118844,"about_ca_system_score_gemma":0.00006539524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005017791,"about_ca_topic_score_gemma":0.006497623,"domain_scores_codex":[0.9977843,0.0004075152,0.0004293695,0.0005434478,0.0006797627,0.0001556005],"domain_scores_gemma":[0.9975052,0.0002427427,0.0007072338,0.001481893,0.00001649905,0.00004641669],"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":[0.00001827226,0.000153988,0.001776808,0.0002395611,0.00005740472,0.000007677535,0.0003711543,0.00001906973,0.0001673804,1.228663e-7,0.9971463,0.00004223733],"study_design_scores_gemma":[0.0004390609,0.00005620798,0.7386311,0.0007020594,0.0001440012,0.00000262962,0.0002810944,0.0002976204,0.00001224511,0.000007894347,0.2591535,0.0002725899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01159888,0.0002958098,4.217263e-8,0.000001673976,0.00003310111,0.0004984796,0.9875634,0.000007694102,9.626207e-7],"genre_scores_gemma":[0.03773852,0.000004953976,0.00006652636,0.00002358121,0.00005484228,0.00007919561,0.9619954,0.00003496794,0.000002045296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7379928,"threshold_uncertainty_score":0.9144152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341522723744063,"score_gpt":0.2890295985128117,"score_spread":0.1956143712753711,"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."}}