{"id":"W6967345244","doi":"10.5061/dryad.dr7sqvb7t","title":"The global footprint of drifting Fish Aggregating Devices","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fishing; Tuna; Footprint; Marine pollution; Ecological footprint; Marine life; Fish <Actinopterygii>; Fishing industry","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":[0.0004685179,0.0008360171,0.0003819679,0.001921453,0.000280501,0.0009000045,0.0008262518,0.0006260844,0.00533781],"category_scores_gemma":[0.002035425,0.0002384983,0.0007613708,0.003632172,0.0002471077,0.0008870727,0.0008368555,0.0006404705,0.005154341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007294053,"about_ca_system_score_gemma":0.0006169857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05390811,"about_ca_topic_score_gemma":0.04905781,"domain_scores_codex":[0.9996135,0.00005653058,0.00004479531,0.0001051183,0.000125248,0.00005490959],"domain_scores_gemma":[0.9992837,0.0001333254,0.000189178,0.00009489636,0.000253439,0.00004537398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001924539,0.00006516542,0.0729255,0.001199963,0.0002209181,0.0001765692,0.00008741678,0.00859913,0.0006067927,0.003365101,0.8914791,0.02108179],"study_design_scores_gemma":[0.0001460039,0.00006095691,0.1410413,0.0006060174,0.00009921117,0.0003466775,0.000419801,0.01108983,0.001287473,0.001828321,0.8429924,0.00008211422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009298275,0.0005418407,0.0004702754,0.0003852468,0.00006437015,0.00001194152,0.9858581,0.0002850126,0.003084852],"genre_scores_gemma":[0.01743888,0.0004472245,0.0008141531,0.0001469473,0.00002116078,0.00004966157,0.9797293,0.00004024575,0.001312371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05390811,"threshold_uncertainty_score":0.1071886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130484188401722,"score_gpt":0.2983811102034697,"score_spread":0.2870762683194525,"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."}}