{"id":"W2152734262","doi":"10.1111/jfd.12017","title":"Use of agent‐based modelling to predict benefits of cleaner fish in controlling sea lice, <i><scp>L</scp>epeophtheirus salmonis</i>, infestations on farmed <scp>A</scp>tlantic salmon, <i>Salmo salar</i> L.","year":2012,"lang":"en","type":"article","venue":"Journal of Fish Diseases","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"University of Prince Edward Island","keywords":"Wrasse; Biology; Lepeophtheirus; Fishery; Infestation; Predation; Salmo; Fish farming; Aquaculture; Fish <Actinopterygii>; Ecology; Agronomy","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":[0.001090558,0.001239302,0.0009581677,0.0007583209,0.0005580822,0.001275511,0.0008841598,0.00181115,0.00205343],"category_scores_gemma":[0.00308561,0.0007452847,0.0009635855,0.0003720919,0.0005313405,0.0007812979,0.0006494664,0.001280958,0.0002016028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599229,"about_ca_system_score_gemma":0.001598558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06012623,"about_ca_topic_score_gemma":0.03815342,"domain_scores_codex":[0.9997724,0.00009277119,0.00001737552,0.00004277928,0.00002550801,0.00004917961],"domain_scores_gemma":[0.9963143,0.002954487,0.000275973,0.00005693308,0.0002344991,0.0001638342],"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":[0.0000185581,0.00001803663,0.0005341212,0.000006088035,0.00001401605,0.000005967856,0.000003668448,0.998736,0.00005236413,0.00009056136,0.0000283817,0.0004922651],"study_design_scores_gemma":[0.000005377309,0.00001377644,0.00007538836,0.000001148774,0.000004796074,6.994219e-7,0.000002264684,0.9997886,0.00002395123,0.00006188828,0.0000203959,0.000001720402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9082451,0.000585955,0.08091722,0.0008368217,0.0001359499,0.0001609652,0.0008224378,0.0005487116,0.007746798],"genre_scores_gemma":[0.9908783,0.0001129973,0.007416629,0.00006313619,0.00001215355,0.00009686613,0.0002311281,0.00001524934,0.001173573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06012623,"threshold_uncertainty_score":0.1195526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324555618922215,"score_gpt":0.2832574542951887,"score_spread":0.2508018924029672,"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."}}