{"id":"W2304753631","doi":"10.5558/tfc2016-018","title":"Utikuma Region Study Area (URSA) – Part 2: Aspen Harvest and Recovery Study","year":2016,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude; Alberta-Pacific Forest Industries; Government of Alberta","keywords":"Wetland; Ecological succession; Disturbance (geology); Taiga; Geography; Ecology; Environmental science; Work (physics); Hydrology (agriculture); Forestry; Environmental resource management; Geology; Engineering; Geomorphology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000238019,0.0003454353,0.0002841878,0.001216056,0.001330069,0.0006417876,0.0005549079,0.0002327452,0.003443253],"category_scores_gemma":[0.0002752639,0.0002954479,0.0002524304,0.001445494,0.0002371288,0.000319569,0.0008204897,0.0003411617,0.000865484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305576,"about_ca_system_score_gemma":0.001331523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1227273,"about_ca_topic_score_gemma":0.3106186,"domain_scores_codex":[0.9998133,0.00002797665,0.00001668212,0.00003835876,0.00003342381,0.00007034899],"domain_scores_gemma":[0.9998522,0.00001239725,0.00003461233,0.00001544448,0.00002680908,0.00005856502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004117122,0.0009214352,0.9604727,0.0001073884,0.00006860372,0.002483052,0.00336124,0.0004419969,0.00405584,0.0003435465,0.003932416,0.02340008],"study_design_scores_gemma":[0.00002472767,0.0001508349,0.9907319,0.00001729424,0.00001865453,0.0004566711,0.003195453,0.0003010707,0.0004166856,0.00003286637,0.004644657,0.000009239986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907938,0.0001112262,0.0001788524,0.00003791612,0.000005818559,0.0003458023,0.004934344,0.00001463083,0.003577689],"genre_scores_gemma":[0.9704137,0.0003585929,0.002564146,0.0001222784,0.00001497125,0.001292846,0.01372152,0.00001703079,0.01149495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1227273,"threshold_uncertainty_score":0.2440259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767559384219572,"score_gpt":0.2350654622081915,"score_spread":0.1873898683659957,"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."}}