{"id":"W2303623270","doi":"10.5558/tfc2016-017","title":"Utikuma Region Study Area (URSA) – Part 1: Hydrogeological and ecohydrological studies (HEAD)","year":2016,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Boreal; Landform; Environmental science; Taiga; Watershed; Hydrogeology; Climate change; Hydrology (agriculture); Ecohydrology; Disturbance (geology); Physical geography; Ecosystem; Geology; Geography; Geomorphology; Ecology; Forestry; Oceanography","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":[0.000481846,0.0003092681,0.0002670071,0.0008167268,0.001190742,0.0007608507,0.0006366765,0.0002616647,0.003008285],"category_scores_gemma":[0.0005160452,0.0003288099,0.0002876982,0.001450375,0.0002866108,0.0004020807,0.0008450937,0.0003377076,0.0005134318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766054,"about_ca_system_score_gemma":0.00340151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3289018,"about_ca_topic_score_gemma":0.4757558,"domain_scores_codex":[0.9998161,0.0000395329,0.00001428356,0.00003512319,0.00003304844,0.00006198757],"domain_scores_gemma":[0.9996444,0.00005488611,0.00007277569,0.00003705741,0.00009450272,0.00009630075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00042039,0.0006607428,0.9238013,0.0003506145,0.0001167398,0.001109126,0.004399564,0.00126839,0.008050418,0.001459005,0.01268335,0.04568031],"study_design_scores_gemma":[0.00004449561,0.0001089072,0.9844388,0.00004454188,0.00002510315,0.0002196893,0.002158507,0.000762056,0.0006369698,0.0001017427,0.0114438,0.00001539636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967428,0.0005231848,0.0007189907,0.0002353363,0.00002798423,0.000652826,0.02414841,0.00006472199,0.006200481],"genre_scores_gemma":[0.9510884,0.0007755057,0.007396427,0.0002267285,0.00003942852,0.002181592,0.02571314,0.00003312598,0.01254552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3289018,"threshold_uncertainty_score":0.6539747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324798149488993,"score_gpt":0.2924667478689387,"score_spread":0.1599869329200394,"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."}}