{"id":"W4392284576","doi":"10.3389/fmars.2024.1359429","title":"Relation between beluga whale aggregations and sea temperature on climate change forecasts","year":2024,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Junta de Andalucía; Generalitat Valenciana","keywords":"Beluga Whale; Beluga; Whale; Oceanography; Climate change; Fishery; Environmental science; Geography; Climatology; Geology; Biology; Arctic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004867676,0.0001254279,0.0001208684,0.0004716954,0.0002132654,0.0004710109,0.0001316956,0.0001845502,0.001273037],"category_scores_gemma":[0.002525888,0.00009635567,0.0001984932,0.0004943949,0.0001760372,0.0003851119,0.00032886,0.0002778253,0.0001532669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980568,"about_ca_system_score_gemma":0.0001830923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05623479,"about_ca_topic_score_gemma":0.07600872,"domain_scores_codex":[0.9998216,0.00003624841,0.00001475721,0.00005510154,0.00003501472,0.0000372658],"domain_scores_gemma":[0.9988869,0.0003443291,0.0002850664,0.00009783509,0.0002819781,0.0001039294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001993137,0.000006406307,0.9953016,0.000006263058,0.00003919264,0.00004023575,0.0001820069,0.000924181,0.0003049002,0.00008690003,0.0002383807,0.002850035],"study_design_scores_gemma":[4.890398e-7,0.000006059028,0.9969918,0.000004881901,0.00001035701,0.00001819293,0.0002365653,0.002254285,0.00005112976,0.00004927607,0.0003744942,0.000002650257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976179,0.0001479784,0.0004164013,0.0001171759,0.00001560633,0.000003420888,0.0003080552,0.0000149943,0.001358508],"genre_scores_gemma":[0.9993302,0.0000620759,0.0001115563,0.000007731031,0.000008428096,0.000001955709,0.000295174,0.00000201208,0.0001809365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05623479,"threshold_uncertainty_score":0.1118149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835706912572783,"score_gpt":0.2468114913696171,"score_spread":0.2284544222438892,"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."}}