{"id":"W2145137207","doi":"10.1071/mf10172","title":"Subjective judgement in data subsetting: implications for CPUE standardisation and stock assessment of non-target chondrichthyans","year":2011,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock assessment; Stock (firearms); Fishing; Fishery; Overfishing; Econometrics; Fish stock; Catch per unit effort; Statistics; Environmental science; Geography; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001208285,0.00006772191,0.0001172051,0.00008882737,0.0001722633,0.00001286946,0.0001876453,0.00003013747,0.0003277602],"category_scores_gemma":[0.00003586655,0.00005739874,0.000008543607,0.0001390818,0.0002383436,0.0001732645,0.001588004,0.00009670379,0.000002194995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006362837,"about_ca_system_score_gemma":0.000009267907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462928,"about_ca_topic_score_gemma":0.03892843,"domain_scores_codex":[0.9991046,0.00005766455,0.0001540407,0.0003150735,0.0001314894,0.0002372014],"domain_scores_gemma":[0.9995587,0.00007638507,0.00003186462,0.0002731573,0.00002516912,0.00003465001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003289438,0.0001030066,0.9888482,0.00003115741,0.00002318816,6.971371e-7,0.0007008912,0.00000394752,0.0001647964,0.0003241143,0.007963691,0.001803425],"study_design_scores_gemma":[0.0004441967,0.0001600907,0.9855503,0.000003705454,0.000008133815,3.149913e-7,0.0002225048,0.002262773,0.000138097,0.005359708,0.005789611,0.00006051685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662425,0.00001235072,0.003037574,0.001885993,0.00003176439,0.001336887,0.0001866446,0.000008826431,0.02725744],"genre_scores_gemma":[0.9908544,0.00009177267,0.008029254,0.00004760516,0.000009557119,0.0002212206,0.0000974785,0.000006544821,0.0006420966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0374655,"threshold_uncertainty_score":0.9786086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239339528159613,"score_gpt":0.3804493763286712,"score_spread":0.2565154235127099,"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."}}