{"id":"W4308180220","doi":"10.1186/s40462-022-00344-3","title":"Behavioural flexibility in an Arctic seabird using two distinct marine habitats to survive the energetic constraints of winter","year":2022,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Garfield Weston Foundation; Bird Studies Canada","keywords":"Seabird; Foraging; Oceanography; Dusk; Habitat; Diel vertical migration; Water column; Predation; Biology; Fishery; Ecology; Environmental science; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006585708,0.0001223421,0.0001950417,0.0000438578,0.0001889294,0.000004988407,0.0003285694,0.00003554788,0.02260016],"category_scores_gemma":[0.00003269987,0.0001050931,0.00004562308,0.0001777941,0.0005257831,0.00006512657,0.000957286,0.000206731,0.00002847721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006342228,"about_ca_system_score_gemma":0.00002397518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316962,"about_ca_topic_score_gemma":0.06040557,"domain_scores_codex":[0.9983926,0.0004255142,0.0003225082,0.0003478258,0.0001602185,0.0003512987],"domain_scores_gemma":[0.9994449,0.00009083821,0.00009859313,0.0002850253,0.00000928907,0.00007134895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006583511,0.0005835571,0.9917171,0.000002192525,0.000005302838,0.000030104,0.000438305,0.003422971,0.002376388,0.00002689949,0.0000222058,0.001309152],"study_design_scores_gemma":[0.0004575288,0.0005035987,0.9971264,0.00000115695,0.00002201863,0.000007386283,0.0004571454,0.0002714367,0.0003964909,0.0006324647,0.00001361398,0.0001107792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984881,9.738378e-7,0.00003058821,0.0004494669,0.0002915749,0.0004921291,0.000024728,0.00001029364,0.0002122009],"genre_scores_gemma":[0.9983007,9.732401e-8,0.0002839685,0.00108786,0.000007812644,0.0001188683,0.00001528083,0.000009394097,0.0001760262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05908861,"threshold_uncertainty_score":0.9782933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366826075759341,"score_gpt":0.2868191417505488,"score_spread":0.2531508809929555,"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."}}