{"id":"W1592786279","doi":"10.1002/rra.2585","title":"HOW PROXIMITY OF LAND USE AFFECTS STREAM FISH AND HABITAT","year":2012,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); Hatch (Canada); Ministry of Natural Resources and Forestry","funders":"","keywords":"Riparian zone; Environmental science; Watershed; STREAMS; Stream power; Habitat; Species richness; Hydrology (agriculture); Riparian buffer; Drainage basin; Electrofishing; Ecology; Land use; Sediment; Geography; Geology; Biology; Cartography","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":[0.000348587,0.00008577574,0.0001779461,0.0004530702,0.000239183,0.0006652066,0.000175211,0.0001855806,0.00156192],"category_scores_gemma":[0.002333559,0.00009263492,0.0001790746,0.0005122322,0.0003297403,0.0003567821,0.0005160821,0.0001660359,0.0001669709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349046,"about_ca_system_score_gemma":0.0001474242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004733077,"about_ca_topic_score_gemma":0.00970218,"domain_scores_codex":[0.9996753,0.0001275585,0.00001973968,0.0000835247,0.00004980534,0.00004407743],"domain_scores_gemma":[0.9986771,0.0006272067,0.0003144909,0.0000718855,0.00008926744,0.0002200086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006399021,0.00002016616,0.9953623,0.000006712241,0.00006112974,0.0000598779,0.0001567496,0.0005826555,0.001024841,0.00005228275,0.00005297553,0.002556293],"study_design_scores_gemma":[0.000001112976,0.00003665798,0.9983393,0.000001891321,0.00001124545,0.00004754003,0.000192263,0.001132287,0.0001022169,0.00005193669,0.00008153702,0.000001948595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996819,0.00001822077,0.0001030796,0.000008397104,8.440858e-7,0.000001031665,0.00002810116,0.000001415341,0.0001569502],"genre_scores_gemma":[0.9998523,0.000008689679,0.00004851587,0.000002567547,0.000001047172,8.069366e-7,0.00002580342,9.38752e-7,0.00005919037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004733077,"threshold_uncertainty_score":0.009411097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207893811621459,"score_gpt":0.2966043370399659,"score_spread":0.2545253989237513,"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."}}