{"id":"W2025105867","doi":"10.1002/rra.1024","title":"Assessing the effect of visual isolation on the population density of Atlantic salmon (<i>Salmo salar</i>) using GIS","year":2007,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadrat; Salmo; Habitat; Geography; Viewshed analysis; Population; Fishery; Population density; Environmental science; Ecology; Cartography; Fish <Actinopterygii>; Biology; Transect","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008064897,0.0002185723,0.0001969286,0.000720356,0.0002305826,0.0005162179,0.0002977148,0.0001446185,0.001169884],"category_scores_gemma":[0.002570382,0.0001391795,0.0003435154,0.0006015117,0.0003213127,0.000302691,0.000475458,0.0001879656,0.0001266472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005754637,"about_ca_system_score_gemma":0.000251535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01777942,"about_ca_topic_score_gemma":0.03567626,"domain_scores_codex":[0.999213,0.00032028,0.00004888395,0.0001102374,0.0002496821,0.00005794593],"domain_scores_gemma":[0.9970493,0.001518228,0.0006306061,0.0001557237,0.0004244743,0.0002217225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008614388,0.000257307,0.9561134,0.00009417156,0.0002609369,0.0001164406,0.0006014893,0.004852988,0.01506882,0.0001120574,0.0002588971,0.0214021],"study_design_scores_gemma":[0.00000946917,0.0005620969,0.9893959,0.000007291302,0.00005157157,0.00003468194,0.0008085145,0.006394438,0.00236248,0.00004086398,0.0003232257,0.000009537451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990827,0.00001441095,0.0003551358,0.00001209131,0.000001438022,0.000007493783,0.0001021346,0.00001121904,0.0004134476],"genre_scores_gemma":[0.9984534,0.00001401394,0.001201362,0.000005417792,0.000001416522,0.00001136998,0.0001668541,0.000001783121,0.0001444201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777942,"threshold_uncertainty_score":0.03535187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646851198309875,"score_gpt":0.3676753614452548,"score_spread":0.3312068494621561,"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."}}