{"id":"W2023858235","doi":"10.5194/hess-5-599-2001","title":"Effects of forest harvesting on summer stream temperatures in New Brunswick, Canada: an inter-catchment, multiple-year comparison","year":2001,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"STREAMS; Environmental science; Hydrology (agriculture); Drainage basin; Land cover; Clearcutting; Forest cover; Terrain; Physical geography; Streamflow; Land use; Geography; Ecology; Forestry; Geology; Cartography","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":[0.0005538415,0.000226277,0.0003803594,0.0007171592,0.001124839,0.0008530318,0.0005675087,0.0002231419,0.0009188312],"category_scores_gemma":[0.0008916376,0.0001678162,0.0003053547,0.001793365,0.0004407254,0.0002790646,0.0004702556,0.0003259668,0.0001385171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01451956,"about_ca_system_score_gemma":0.009720031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9781216,"about_ca_topic_score_gemma":0.9950833,"domain_scores_codex":[0.9994786,0.00004455554,0.00002948193,0.00009692396,0.0002036054,0.0001469047],"domain_scores_gemma":[0.9989408,0.00007289347,0.0001376457,0.00003838169,0.0005990414,0.0002113562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002320591,0.00006479277,0.9887319,0.00002701614,0.0000869733,0.0001439365,0.0006377829,0.000344938,0.001492663,0.00003909411,0.0005172786,0.007681492],"study_design_scores_gemma":[0.000002535991,0.00001543965,0.9989516,0.000003574835,0.000008994884,0.00001213221,0.0004694828,0.0001239879,0.0000768213,0.000003408062,0.0003287481,0.000003314743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979796,0.0001532496,0.00008307086,0.00003268133,0.000004722065,0.00002112886,0.001030174,0.000004960409,0.0006904842],"genre_scores_gemma":[0.9963245,0.0002052698,0.0001905409,0.00004293048,0.000002830165,0.0000249361,0.002124941,0.000005569938,0.001078431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02187836,"threshold_uncertainty_score":0.1053473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391957962449799,"score_gpt":0.2332114779037352,"score_spread":0.2192918982792372,"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."}}