{"id":"W4410763606","doi":"10.1139/cjfas-2024-0191","title":"Using history matching to speed up management strategy evaluation grid searches","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grid; Matching (statistics); Computer science; Operations research; Geography; Statistics; Engineering; Mathematics; Geodesy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004295645,0.00007401361,0.0001517759,0.000713431,0.0003999159,0.0004516817,0.0004699774,0.00002617641,0.0003527428],"category_scores_gemma":[0.0004853318,0.0000565505,0.00004303913,0.0008202366,0.0002746847,0.0003771764,0.00002763466,0.00006940529,0.000003958913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448728,"about_ca_system_score_gemma":0.001334256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692515,"about_ca_topic_score_gemma":0.003035396,"domain_scores_codex":[0.9983488,0.00009881927,0.0004669844,0.000191316,0.0007123846,0.00018166],"domain_scores_gemma":[0.9989717,0.0002477033,0.0001843478,0.0001454238,0.0002042909,0.0002465458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001957557,0.00002203959,0.03248362,0.00002200879,0.00005285054,0.00001695505,0.005615676,0.01363084,0.0005724843,0.05144196,0.09023191,0.8058901],"study_design_scores_gemma":[0.0006248619,0.0003002401,0.07628609,0.0003429893,0.0001166597,0.00004457462,0.03865719,0.1395746,0.000333059,0.4967738,0.2465048,0.0004410504],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436198,0.000789817,0.02489424,0.005702245,0.0008816575,0.000339023,0.000003120867,0.000006813693,0.02376325],"genre_scores_gemma":[0.989332,0.00001088901,0.008586125,0.0005368867,0.00004792409,0.000002289391,2.829308e-7,0.000002525468,0.001481138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.805449,"threshold_uncertainty_score":0.4355577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3298449643158547,"score_gpt":0.4300343029629918,"score_spread":0.1001893386471371,"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."}}