{"id":"W6962754318","doi":"10.17895/ices.pub.24704976","title":"Integrating information on population structure and migration into fisheries stock assessment and management","year":2019,"lang":"en","type":"other","venue":"International Council for the Exploration of the Sea (ICES)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock assessment; Stock (firearms); Population; Fisheries management; Fishing; Recreational fishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008749521,0.0003819645,0.0002819469,0.000258559,0.0002511245,0.0003505963,0.000514982,0.0002014163,0.00007743916],"category_scores_gemma":[0.0002469137,0.0002469967,0.000105564,0.0001778183,0.0001095753,0.00145218,0.0001849448,0.0002519264,0.00002344478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031556,"about_ca_system_score_gemma":0.0001377035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327886,"about_ca_topic_score_gemma":0.006754991,"domain_scores_codex":[0.9969859,0.00009628155,0.0005914136,0.0003239405,0.001842684,0.0001598137],"domain_scores_gemma":[0.9972153,0.0002076803,0.00138117,0.0004262532,0.0007368934,0.00003275303],"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":[0.001135197,0.0001442127,0.007264821,0.001823401,0.002208678,4.307968e-7,0.008488127,0.008253174,0.000866231,0.1348134,0.7934142,0.0415882],"study_design_scores_gemma":[0.002121591,0.0002683116,0.01625315,0.001273024,0.0003759282,0.00000434578,0.002207542,0.06801097,0.0002032335,0.01207048,0.8965604,0.0006509728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1126613,0.00318359,0.1281977,0.07828169,0.04071991,0.06707074,0.02358626,0.002251318,0.5440475],"genre_scores_gemma":[0.9044221,0.0008487526,0.007859753,0.001005945,0.001149859,0.001060845,0.004014619,0.0006719646,0.07896616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7917609,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07307992420388139,"score_gpt":0.2942352969422644,"score_spread":0.221155372738383,"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."}}