{"id":"W2010160168","doi":"10.1088/1748-9326/9/10/105010","title":"Effects of thermo-erosion gullying on hydrologic flow networks, discharge and soil loss","year":2014,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Permafrost; Hydrology (agriculture); Channelized; Geology; Terrace (agriculture); Erosion; Drainage; Surface runoff; Environmental science; Geomorphology; Oceanography","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":[0.0001838611,0.0001738325,0.0001696637,0.0003130683,0.0002968419,0.0005740003,0.0001894678,0.0001652696,0.0007857883],"category_scores_gemma":[0.0005446653,0.00007293587,0.0002728174,0.0005039613,0.0004875865,0.0002259362,0.0003628534,0.0002351076,0.00007716745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347081,"about_ca_system_score_gemma":0.0006726566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1404425,"about_ca_topic_score_gemma":0.2505378,"domain_scores_codex":[0.9998507,0.00002189249,0.000007213775,0.00003994951,0.00002424845,0.00005594752],"domain_scores_gemma":[0.9996587,0.00004664031,0.00009895558,0.00002637388,0.00006018375,0.000109219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002835798,0.00007031379,0.9885405,0.00001434004,0.00006564663,0.0002210985,0.0004522551,0.001777367,0.002724997,0.00007730218,0.0002411215,0.005531532],"study_design_scores_gemma":[9.768397e-7,0.00002697348,0.9991443,0.000001691795,0.000004638772,0.00002022287,0.0001879533,0.0003874729,0.00009073475,0.000009682674,0.000123749,0.000001611529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996583,0.00002244558,0.00001772387,0.000005744636,6.914537e-7,0.000001279779,0.0001033177,0.000002473885,0.0001879867],"genre_scores_gemma":[0.9994466,0.0000298027,0.0000435429,0.000005743929,8.386417e-7,0.000002448813,0.0002338888,0.000002109886,0.0002349585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404425,"threshold_uncertainty_score":0.2792501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283872696206366,"score_gpt":0.2413646281991454,"score_spread":0.2185259012370817,"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."}}