{"id":"W1498952527","doi":"10.1111/cag.12063","title":"<scp>T</scp>oward cumulative effects assessment and management in the Athabasca watershed, Alberta, Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Watershed; Cumulative effects; Stakeholder; Stakeholder engagement; Environmental resource management; Business; Environmental planning; Political science; Accounting; Geography; Public relations; Environmental science; Ecology; Computer science","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":[0.0008261585,0.0001800105,0.0001193402,0.0009585278,0.003501976,0.002443966,0.0008068733,0.0004919509,0.02685221],"category_scores_gemma":[0.001852257,0.0001015293,0.0001413737,0.001734593,0.001580638,0.0004368753,0.0010132,0.0004650109,0.001007487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03236425,"about_ca_system_score_gemma":0.06396205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920014,"about_ca_topic_score_gemma":0.9972979,"domain_scores_codex":[0.9994395,0.00006492457,0.00001177465,0.00005618357,0.000313568,0.0001139482],"domain_scores_gemma":[0.9980873,0.0003570407,0.00007479577,0.00004189126,0.001031644,0.0004071605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00011644,0.0001742339,0.1103551,0.0007368785,0.0000405923,0.001323148,0.009596818,0.004916568,0.004608806,0.01655408,0.5254533,0.326124],"study_design_scores_gemma":[0.00002215056,0.00004506715,0.2701452,0.0007370388,0.00003769109,0.0002131838,0.03590739,0.003874897,0.002540231,0.00378483,0.682601,0.00009137442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2501538,0.01164826,0.00901404,0.05658925,0.001027269,0.0008656082,0.01681648,0.0009877743,0.6528975],"genre_scores_gemma":[0.77187,0.006990838,0.01211935,0.004467602,0.0001068022,0.0001917098,0.003463792,0.0001944647,0.2005954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03236425,"threshold_uncertainty_score":0.2348202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246238609929566,"score_gpt":0.2018505750056493,"score_spread":0.1966043363957198,"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."}}