{"id":"W4308639805","doi":"10.1111/gcb.16519","title":"Contrasting bottom‐up effects of warming ocean on two king penguin populations","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Terres Australes et Antarctiques Françaises; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Institut Polaire Français Paul Emile Victor; British Ornithologists' Union","keywords":"Foraging; Climate change; Ecology; Population; Global warming; Effects of global warming on oceans; Geography; Predation; Abundance (ecology); Biology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002789361,0.0001887739,0.0003457408,0.0006835229,0.0004793591,0.000855486,0.0002484711,0.0002376036,0.000895485],"category_scores_gemma":[0.001095168,0.0001719843,0.0003911501,0.0005018988,0.0004952661,0.0003173239,0.0008487041,0.0002794663,0.0001231632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006197899,"about_ca_system_score_gemma":0.0002035512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02991822,"about_ca_topic_score_gemma":0.06887556,"domain_scores_codex":[0.9997301,0.00004485803,0.00001782625,0.0001049404,0.00002436197,0.00007793794],"domain_scores_gemma":[0.9995089,0.0001265048,0.0001000777,0.00006172623,0.00007797585,0.0001248652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001026607,0.00001812251,0.9929736,0.0000112287,0.00009958743,0.0001174628,0.0006358585,0.0002299284,0.003942313,0.00004473932,0.00005164957,0.001772947],"study_design_scores_gemma":[7.527805e-7,0.000007793508,0.9996044,9.48194e-7,0.000008542125,0.00001689919,0.0001983233,0.00008266819,0.0000396363,0.00000451252,0.00003366704,0.000001757294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999718,0.00002553413,0.0000211712,0.000006844339,9.567298e-7,7.987886e-7,0.00007153537,0.000001135151,0.0001539484],"genre_scores_gemma":[0.9996508,0.00001826265,0.00003406162,0.000006301841,0.00000137311,0.000002103746,0.0002252081,0.000001389468,0.00006041024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02991822,"threshold_uncertainty_score":0.05948818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490021472977043,"score_gpt":0.3081004170105576,"score_spread":0.2632002022807872,"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."}}