{"id":"W6892173288","doi":"10.5061/dryad.k540b54","title":"Data from: A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bycatch; Demersal zone; Pelagic zone; Fishing; Threatened species; Seabird; Marine conservation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001312587,0.0005776495,0.0004355118,0.002520868,0.0004539869,0.0008529957,0.000844393,0.0006600281,0.007110399],"category_scores_gemma":[0.003578139,0.0003488804,0.000491145,0.00300139,0.0001911703,0.000657591,0.00128227,0.0005333923,0.005196256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007523402,"about_ca_system_score_gemma":0.001623618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04941699,"about_ca_topic_score_gemma":0.08574811,"domain_scores_codex":[0.9989735,0.0001429356,0.0001923661,0.0003037423,0.0002953375,0.00009224343],"domain_scores_gemma":[0.9955319,0.0006085676,0.001355162,0.0005231078,0.00153765,0.0004435568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000458255,0.0002507565,0.6728463,0.001279272,0.0005992659,0.0002979432,0.0006749526,0.003204588,0.002201975,0.0005901197,0.2657377,0.05185886],"study_design_scores_gemma":[0.0001030372,0.0001136759,0.8816147,0.0003141784,0.0001384543,0.0001419795,0.0004242185,0.001527696,0.0008399178,0.0002413453,0.1144804,0.00006041896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08152401,0.0002042432,0.001038156,0.0001461393,0.00002804654,0.0002253125,0.9132213,0.0001898038,0.003422919],"genre_scores_gemma":[0.07183485,0.0001653492,0.003812811,0.0001494635,0.00002584743,0.0006754603,0.921208,0.000051409,0.002076762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04941699,"threshold_uncertainty_score":0.09825867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05660506633744643,"score_gpt":0.3209135035574097,"score_spread":0.2643084372199633,"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."}}