{"id":"W2168833678","doi":"10.1371/journal.pone.0092725","title":"ss3sim: An R Package for Fisheries Stock Assessment Simulation with Stock Synthesis","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"School of Aquatic and Fishery Sciences; National Oceanic and Atmospheric Administration; Natural Sciences and Engineering Research Council of Canada; Fulbright Canada; Joint Institute for the Study of the Atmosphere and Ocean; University of Washington","keywords":"Stock (firearms); Computer science; Software; R package; Stock assessment; License; Software package; Fishery; Source code; Formalism (music); Data mining; Econometrics; Programming language; Geography; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003962338,0.00239241,0.001778149,0.001611566,0.0005322724,0.002029131,0.003675801,0.001287049,0.0632595],"category_scores_gemma":[0.02233146,0.001570272,0.002752512,0.001279805,0.0007717715,0.001919568,0.002594796,0.002882509,0.02665204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169334,"about_ca_system_score_gemma":0.003014964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005034957,"about_ca_topic_score_gemma":0.005822057,"domain_scores_codex":[0.9984311,0.0006351078,0.0001821496,0.0002772036,0.0003637333,0.0001106332],"domain_scores_gemma":[0.9908284,0.006738956,0.0006055142,0.0007351167,0.0008614665,0.0002306376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000925592,0.00019104,0.01387475,0.004785083,0.002401895,0.0009291545,0.0007302398,0.1520919,0.005877734,0.04219166,0.656396,0.119605],"study_design_scores_gemma":[0.0008217992,0.0002599877,0.004857569,0.0006987528,0.0006759868,0.0006218666,0.0001677618,0.4346225,0.01046772,0.08267368,0.4638026,0.0003297873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008580743,0.0009353275,0.6060877,0.001042521,0.0006221394,0.0005683762,0.07181935,0.3003672,0.009976646],"genre_scores_gemma":[0.0888655,0.001541269,0.6559744,0.001871192,0.0003131764,0.00487083,0.07476959,0.1606893,0.01110482],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0632595,"threshold_uncertainty_score":0.2116241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05936748311226607,"score_gpt":0.2751205152711438,"score_spread":0.2157530321588777,"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."}}