{"id":"W2598092628","doi":"10.1016/0967-0653(95)95067-2","title":"10.1016/0967-0653(95)95067-2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swordfish; Population; Bootstrapping (finance); Econometrics; Production (economics); Computer science; Statistics; Mathematics; Economics; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001578529,0.002852814,0.001766579,0.002390161,0.001851608,0.003867761,0.002939638,0.00625786,0.9900064],"category_scores_gemma":[0.001621602,0.001076052,0.001595623,0.001870136,0.001941805,0.005211812,0.003646859,0.002762462,0.9910854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087091,"about_ca_system_score_gemma":0.0009272285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002967556,"about_ca_topic_score_gemma":0.003046172,"domain_scores_codex":[0.9989518,0.0001051808,0.00009410756,0.0004070468,0.0002350947,0.0002067504],"domain_scores_gemma":[0.9975575,0.0007219111,0.0001235815,0.000296497,0.0006329519,0.0006674937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003648441,0.0003236853,0.001016869,0.0005654488,0.00003894106,0.0003174469,0.0001022701,0.0003738893,0.002176751,0.004729296,0.3396204,0.6503701],"study_design_scores_gemma":[0.00005687014,0.0001092412,0.0007396498,0.0004240263,0.00001276972,0.000286359,0.0001141158,0.0001838426,0.0002443957,0.0006013699,0.9972051,0.00002222935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004774022,0.0004687027,0.0007757258,0.0005013325,0.0003204089,0.0001380009,0.0009228617,0.0007260535,0.9956696],"genre_scores_gemma":[0.0006555532,0.0002550697,0.0004770097,0.0003452376,0.00006713129,0.00007050438,0.0004329197,0.0002093323,0.9974872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009993553,"threshold_uncertainty_score":0.01425451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007242648265108323,"score_gpt":0.181592339678055,"score_spread":0.1743496914129467,"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."}}