{"id":"W3159550464","doi":"10.51549/joral.2020.12.2.001","title":"The Opportunities and Barriers in Considering Cumulative Effects for Landscape Assessments","year":2018,"lang":"en","type":"article","venue":"Journal of East Asian Landscape Studies","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cumulative effects; Credibility; Stakeholder; Salience (neuroscience); Context (archaeology); Variety (cybernetics); Process (computing); Environmental resource management; Management science; Bridge (graph theory); Computer science; Environmental planning; Process management; Knowledge management; Political science; Geography; Business; Engineering; Public relations; Environmental science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1645286,0.0009498191,0.001121646,0.005220512,0.007273719,0.01546618,0.004042141,0.004163317,0.003011463],"category_scores_gemma":[0.2502537,0.0009614666,0.001311978,0.005256679,0.01666531,0.01960971,0.01258982,0.008090205,0.0003073323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008489746,"about_ca_system_score_gemma":0.02466941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411033,"about_ca_topic_score_gemma":0.0299469,"domain_scores_codex":[0.8621669,0.1096412,0.007496666,0.003290266,0.01468308,0.002721832],"domain_scores_gemma":[0.6211221,0.3147105,0.01092819,0.01869268,0.03147222,0.003074425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001177359,0.0002979861,0.02444571,0.003020028,0.0001959926,0.001571673,0.1395017,0.01596081,0.004218793,0.5959441,0.004986422,0.2097391],"study_design_scores_gemma":[0.00005309134,0.0001904076,0.01220646,0.004324116,0.000157609,0.0007463312,0.09783355,0.01878432,0.0027733,0.7514601,0.1112158,0.0002549274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.213787,0.009376267,0.5830553,0.0940511,0.0009539101,0.00202537,0.0002563693,0.0003957862,0.09609898],"genre_scores_gemma":[0.7492628,0.00222663,0.2436733,0.002014534,0.0002077872,0.001179764,0.00005874729,0.0001157428,0.00126074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1645286,"threshold_uncertainty_score":0.8701209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0418797529115382,"score_gpt":0.3371147140603543,"score_spread":0.2952349611488161,"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."}}