{"id":"W2520033562","doi":"10.1139/cjfas-2015-0315","title":"Spatial diffusion modelling of juvenile Atlantic salmon (<i>Salmo salar</i>) shows ontogenetic increase in movement rates","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmo; Ontogeny; Juvenile; Electrofishing; Spatial distribution; Biology; Ecology; Spatial variability; Habitat; Spatial ecology; Fishery; Geography; Fish <Actinopterygii>; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002571795,0.0002032823,0.0001421563,0.0003131369,0.0001760055,0.0003143396,0.0002826414,0.0002722047,0.0004801137],"category_scores_gemma":[0.0008972979,0.0001511081,0.0005301309,0.0001997758,0.0002423541,0.0002414526,0.0002827368,0.0002276705,0.00008142066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005051659,"about_ca_system_score_gemma":0.0004429644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04776086,"about_ca_topic_score_gemma":0.03473927,"domain_scores_codex":[0.999944,0.00001358717,0.000003918517,0.00001996587,0.000007408572,0.00001114182],"domain_scores_gemma":[0.9997146,0.0001438686,0.00007547276,0.00001235411,0.00003059775,0.00002315788],"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":[0.0001097823,0.00002840195,0.1121129,0.00004428541,0.00009440908,0.0001370043,0.0002129969,0.8596686,0.01171147,0.002967353,0.0004451375,0.01246771],"study_design_scores_gemma":[0.00000456271,0.00001726235,0.02158381,0.000003659545,0.000008992512,0.00003324094,0.00004642789,0.9770824,0.0004209323,0.0005505754,0.000240005,0.000008219241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975423,0.0001258303,0.02353526,0.0001464082,0.00000706656,0.000005898894,0.0001617378,0.00003570268,0.0005590775],"genre_scores_gemma":[0.9953012,0.00007938789,0.003649994,0.000008752208,0.000002293146,0.000007915123,0.0001419411,0.000009748664,0.0007987639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04776086,"threshold_uncertainty_score":0.0949657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695372297710286,"score_gpt":0.1984790337441266,"score_spread":0.1815253107670238,"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."}}