{"id":"W7144086169","doi":"10.14943/doctoral.k16229","title":"温暖化する北極域の海棲哺乳類 : 北西グリーンランドにおける海洋生態系、環境、イヌイットとのつながり","year":2025,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predation; Arctic; Apex predator; Marine mammal; Marine ecosystem; Zooplankton; Ursus maritimus; Climate change","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":[0.001028188,0.0002423638,0.0001394774,0.000643214,0.002456142,0.002496084,0.0004280513,0.0005801669,0.0118837],"category_scores_gemma":[0.001285204,0.000174255,0.0002092632,0.0008125497,0.00102739,0.001142863,0.0008467009,0.0009208758,0.003754317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001965524,"about_ca_system_score_gemma":0.00183176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03741215,"about_ca_topic_score_gemma":0.1082317,"domain_scores_codex":[0.9995688,0.00007429672,0.0000276381,0.0001087842,0.0001513303,0.00006922911],"domain_scores_gemma":[0.9993072,0.0001013074,0.0001328488,0.00002303332,0.0002879796,0.0001477046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002787757,0.0002739519,0.4189566,0.0005647709,0.00008276216,0.00174549,0.03392044,0.0008424891,0.01367567,0.02823653,0.05490842,0.446514],"study_design_scores_gemma":[0.00001478013,0.0003900232,0.5672487,0.0004327613,0.00006204109,0.00179254,0.04040391,0.00130838,0.01080193,0.007292429,0.3701527,0.00009977536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168952,0.007351279,0.01102126,0.02420763,0.001668105,0.0003883356,0.002612462,0.0001337474,0.2357221],"genre_scores_gemma":[0.8284204,0.004569603,0.01123763,0.002395043,0.0004583625,0.0001639576,0.0009937551,0.00005189098,0.1517094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03741215,"threshold_uncertainty_score":0.07438874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514151041676057,"score_gpt":0.2634127571746573,"score_spread":0.2482712467578967,"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."}}