{"id":"W2015918764","doi":"10.1371/journal.pone.0004570","title":"Estimating the Worldwide Extent of Illegal Fishing","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":981,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Department for International Development; Pew Charitable Trusts","keywords":"Fishing; Overexploitation; Fishery; Fish stock; Geography; International waters; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000195168,0.0000455167,0.0000780416,0.000009521385,0.0000805072,0.00002385702,0.0002211146,0.00001459973,0.003968841],"category_scores_gemma":[0.0001332778,0.00003138815,0.00002152719,0.0001328136,0.0000732538,0.0001092112,0.0001347064,0.0001177941,0.00005510762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002636166,"about_ca_system_score_gemma":0.00000340256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002328861,"about_ca_topic_score_gemma":0.00003462032,"domain_scores_codex":[0.9992203,0.00002347293,0.000112361,0.0001023344,0.0003854721,0.0001561106],"domain_scores_gemma":[0.999689,0.00004516321,0.00003320203,0.0001909959,0.000005681939,0.00003598795],"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":[0.00007630209,0.002353892,0.4180038,0.00006823601,0.00008501403,0.00002475655,0.002032514,0.001026943,0.08632723,0.0004301218,0.006453665,0.4831175],"study_design_scores_gemma":[0.0007756844,0.0007260151,0.7659834,0.0001601625,0.00008642271,0.000006560899,0.0002995848,0.1809872,0.03547536,0.004876133,0.01007969,0.0005437599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6923234,0.000005098136,0.0001010689,0.002715955,0.000008071028,0.0001075713,7.22915e-7,0.00001338006,0.3047247],"genre_scores_gemma":[0.986758,0.000004773754,0.009691929,0.0002821656,0.00004136052,0.000005005122,0.000001104972,0.00000380092,0.003211888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4825737,"threshold_uncertainty_score":0.9969417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552969143845764,"score_gpt":0.2439978940047742,"score_spread":0.2084682025663165,"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."}}