{"id":"W4390055639","doi":"10.2139/ssrn.4671589","title":"Exploring Capelin (Mallotus Villosus) Population Dynamics Using Empirical Dynamic Modelling (Edm)","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Fisheries and Oceans Canada","funders":"","keywords":"Mallotus; Capelin; Population; Fishery; Biology; Engineering; Fish <Actinopterygii>; Ecology; Predation; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002130301,0.0003130889,0.0003188061,0.0003969056,0.000235136,0.0004605229,0.0004691934,0.0006212638,0.001257948],"category_scores_gemma":[0.001358349,0.0003207866,0.0003698897,0.0003082011,0.0002590824,0.0005216982,0.0003466458,0.0002767428,0.0001022676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258489,"about_ca_system_score_gemma":0.0003630368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0489227,"about_ca_topic_score_gemma":0.03273666,"domain_scores_codex":[0.9999597,0.00001241063,0.00000208232,0.00001467395,0.000004014175,0.000007075525],"domain_scores_gemma":[0.9996668,0.0002445191,0.00003792526,0.00001701923,0.00001443832,0.0000193161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005703495,0.00003719438,0.01835663,0.00006830937,0.00005321096,0.0001796732,0.0001464406,0.9703704,0.003429714,0.001479991,0.0002301116,0.005591321],"study_design_scores_gemma":[0.00000358814,0.00001157433,0.004174008,0.000004869275,0.000008197997,0.00001836328,0.00002889958,0.9952446,0.0001082494,0.0003087264,0.00008464035,0.000004399821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838045,0.00009607231,0.0141897,0.0001198907,0.000005505256,0.000007139798,0.0001831694,0.00004715301,0.001546931],"genre_scores_gemma":[0.9958379,0.00004443637,0.003468526,0.0000111646,0.000002149172,0.000009587638,0.00009643277,0.00001270947,0.0005171541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0489227,"threshold_uncertainty_score":0.09727591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562059480628661,"score_gpt":0.3277364648785,"score_spread":0.1715305168156339,"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."}}