{"id":"W2022854165","doi":"10.1016/j.jhydrol.2007.12.028","title":"Rainfall peak flow response to clearcutting 50% of three small watersheds in a boreal forest, Montmorency Forest, Québec","year":2008,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Clearcutting; Watershed; Logging; Hydrology (agriculture); Environmental science; Boreal; Taiga; STREAMS; Watershed area; Geography; Geology; Forestry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002293599,0.0002394297,0.00040465,0.0004367179,0.001680052,0.0008081298,0.0008468804,0.0005249673,0.001610604],"category_scores_gemma":[0.000818256,0.0002124506,0.0002326753,0.0007756652,0.000763097,0.0003179713,0.0005029121,0.0004725751,0.000157281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008701746,"about_ca_system_score_gemma":0.004343564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9575277,"about_ca_topic_score_gemma":0.9862243,"domain_scores_codex":[0.9997603,0.00003248929,0.000009156078,0.00005862944,0.00003899005,0.000100377],"domain_scores_gemma":[0.9992811,0.0001207862,0.00007938415,0.00002564443,0.0002182476,0.0002749589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001570358,0.0004666008,0.9790937,0.00002533959,0.0001152225,0.0003349945,0.002064744,0.001798659,0.006057058,0.0001136723,0.001814843,0.00654474],"study_design_scores_gemma":[0.00001189497,0.0000219367,0.9988325,0.000001502002,0.000005822824,0.0000115953,0.0004353311,0.0004856738,0.00008838866,0.000006369035,0.00009514143,0.000003880606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991474,0.00001504118,0.0000317977,0.00003210092,0.00000161923,0.00001229888,0.0003822277,0.000005559773,0.0003718488],"genre_scores_gemma":[0.9987209,0.0000149643,0.00005892908,0.00003016317,0.000001918993,0.00001112999,0.0006100622,0.000002787676,0.0005491179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0424723,"threshold_uncertainty_score":0.08544481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620881899206894,"score_gpt":0.2195547171474617,"score_spread":0.2033458981553928,"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."}}