{"id":"W2334736836","doi":"10.5751/es-07175-200124","title":"Operationalizing the integrated landscape approach in practice","year":2015,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Operationalization; Transdisciplinarity; Sustainability; Process (computing); Landscape planning; Management science; Landscape epidemiology; Landscape ecology; Computer science; Environmental resource management; Landscape assessment; Landscape design; Sociology; Environmental planning; Geography; Ecology; Engineering; Epistemology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02858669,0.0009911201,0.0008633351,0.006791096,0.003951254,0.01806663,0.003041455,0.005518842,0.008343765],"category_scores_gemma":[0.0351673,0.0006672366,0.00095099,0.007767284,0.03648971,0.02200291,0.01459107,0.00397226,0.0009550319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132161,"about_ca_system_score_gemma":0.01125827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004658218,"about_ca_topic_score_gemma":0.006201715,"domain_scores_codex":[0.9581562,0.03003796,0.001911681,0.003775661,0.004656627,0.001461736],"domain_scores_gemma":[0.975468,0.0143893,0.002765397,0.002942854,0.003070059,0.001364465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005335436,0.00003579975,0.001610102,0.0001519683,0.00002104569,0.0001196872,0.008022958,0.001287635,0.0001497829,0.9709837,0.00100049,0.01661156],"study_design_scores_gemma":[0.00001588235,0.00005901605,0.001738337,0.0006294788,0.00002327873,0.0002266688,0.01836695,0.006009133,0.0001646724,0.9279857,0.04475628,0.00002470693],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04738138,0.002424493,0.6134043,0.01908423,0.0003038713,0.0007339552,0.0001242511,0.0002532278,0.3162902],"genre_scores_gemma":[0.7073848,0.001195242,0.285181,0.0011287,0.00008308394,0.001003548,0.00009746754,0.00009010845,0.003836116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02858669,"threshold_uncertainty_score":0.1511827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252057986009655,"score_gpt":0.259103948929681,"score_spread":0.2365833690695845,"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."}}