{"id":"W2156930535","doi":"10.1051/alr/2010023","title":"Quantifying tag reporting rates for Atlantic tuna fleets using coincidental tag returns","year":2010,"lang":"en","type":"article","venue":"Aquatic Living Resources","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Pew Charitable Trusts","keywords":"Tuna; Fishery; Pelagic zone; Stock assessment; Stock (firearms); Scombridae; Environmental science; Geography; Fishing; Biology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05717678,0.0008483253,0.001162642,0.003874846,0.0004207001,0.001778828,0.001277549,0.0007517837,0.0005793921],"category_scores_gemma":[0.1061848,0.0006777789,0.006448554,0.003818522,0.0005998551,0.001634148,0.0006974998,0.0008038231,0.000115314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005873716,"about_ca_system_score_gemma":0.0004299927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005518556,"about_ca_topic_score_gemma":0.006432541,"domain_scores_codex":[0.9674891,0.02176773,0.00382679,0.004718025,0.001914143,0.0002842374],"domain_scores_gemma":[0.8403732,0.1202244,0.02422766,0.01124859,0.00366899,0.000257046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011997,0.00003188605,0.851064,0.002166749,0.09982809,0.0001165192,0.0003567258,0.005929434,0.00103734,0.0004596908,0.0004476057,0.03755005],"study_design_scores_gemma":[0.0002377592,0.001075618,0.8210019,0.0009411139,0.1426251,0.0008730392,0.0005796777,0.01857534,0.006622928,0.001925305,0.005371275,0.0001709226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8847095,0.04210944,0.06555391,0.000428261,0.0003096317,0.0001662312,0.004362634,0.000173952,0.002186371],"genre_scores_gemma":[0.987252,0.003038655,0.007991629,0.0001178861,0.00005997198,0.00009978609,0.001206963,0.00003840688,0.000194666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05717678,"threshold_uncertainty_score":0.3023834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960271619799843,"score_gpt":0.3093795794462507,"score_spread":0.2697768632482522,"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."}}