{"id":"W4409869206","doi":"10.1093/jcbiol/ruaf021","title":"Spatial stock structure of northern shrimp <i>Pandalus borealis</i> Krøyer, 1838 (Decapoda: Caridea: Pandalidae) in Canada’s Northwest Atlantic","year":2025,"lang":"en","type":"article","venue":"Journal of Crustacean Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biological dispersal; Shrimp; Fishery; Biology; Caridea; Decapoda; Stock (firearms); Spatial ecology; Spatial distribution; Stock assessment; Ecology; Geography; Crustacean; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002523492,0.0001781581,0.0005149818,0.0001357958,0.00006074186,0.00001508893,0.0005020045,0.0001305337,0.001187045],"category_scores_gemma":[0.0001370406,0.0001368636,0.00008875089,0.0003258192,0.0002272323,0.00009188429,0.00026814,0.0004959377,9.555499e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006777672,"about_ca_system_score_gemma":0.001337986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657848,"about_ca_topic_score_gemma":0.9959274,"domain_scores_codex":[0.9981507,0.0001709017,0.0007285976,0.0002086005,0.0003320469,0.0004091763],"domain_scores_gemma":[0.9990597,0.0001227088,0.0003566506,0.0002470602,0.0000828585,0.0001310578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001916859,0.00003640957,0.9828147,0.00002364419,0.00003793109,0.0000651197,0.0001027874,0.0002062084,0.00170198,0.00003389976,0.003164193,0.01162149],"study_design_scores_gemma":[0.00133915,0.000296791,0.9112165,0.00002045697,0.00003204513,0.00006236155,0.0002288105,0.000193797,0.0008006967,0.0003716779,0.0852575,0.000180219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992669,0.00006820363,0.0001158198,0.0007119374,0.0003279897,0.0001521603,0.0001082776,0.000002866125,0.005843705],"genre_scores_gemma":[0.9993365,0.0000920954,0.00007902565,0.0002048277,0.00008791639,8.291697e-7,0.00003306027,0.000009846906,0.0001558864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08209331,"threshold_uncertainty_score":0.999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006429360866011487,"score_gpt":0.232334486381638,"score_spread":0.2259051255156265,"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."}}