{"id":"W6977344863","doi":"10.6084/m9.figshare.c.7437389","title":"Supplementary material from \"Atlantic bluefin tuna tagged off Norway show extensive annual migrations, high site-fidelity and dynamic behaviour in the Atlantic & Mediterranean Sea\"","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thunnus; Tuna; Mediterranean climate; Mediterranean sea; Arctic; Norwegian","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000879385,0.0007922771,0.0005858637,0.001536311,0.0008408417,0.001421529,0.001229054,0.0007173458,0.8030094],"category_scores_gemma":[0.004061611,0.0003849656,0.0005228016,0.001980475,0.0002541755,0.001286812,0.001256215,0.0004212913,0.3029996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223153,"about_ca_system_score_gemma":0.0008483148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216764,"about_ca_topic_score_gemma":0.04105712,"domain_scores_codex":[0.9996161,0.00004923274,0.00004281623,0.0001053994,0.0001252377,0.00006118997],"domain_scores_gemma":[0.9972751,0.0010643,0.0001582168,0.0002999314,0.0009256603,0.0002768623],"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":[0.00007928364,0.0000419967,0.001973884,0.000491732,0.00001341251,0.00007201139,0.00008162909,0.0001776506,0.0004764242,0.0006768577,0.9789572,0.01695795],"study_design_scores_gemma":[0.0001529977,0.00005732153,0.01676219,0.0003276772,0.00002042831,0.0001831368,0.000160311,0.0004310815,0.0004074709,0.002048557,0.9794161,0.00003266577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001482607,0.0000871663,0.001961256,0.0002762752,0.0007913387,0.0001025037,0.960552,0.001681789,0.03306507],"genre_scores_gemma":[0.01042473,0.0002236145,0.008065793,0.0004207547,0.0001996301,0.0004790754,0.9144258,0.001831261,0.06392935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8030094,"threshold_uncertainty_score":0.2809832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230958334575727,"score_gpt":0.2778912614982205,"score_spread":0.2555816781524632,"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."}}