{"id":"W2027228691","doi":"10.1007/s13280-013-0386-6","title":"The Challenges of Incorporating Cultural Ecosystem Services into Environmental Assessment","year":2013,"lang":"en","type":"article","venue":"AMBIO","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":281,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Center For Environmental Assessment; University of British Columbia; University of Minnesota","keywords":"Ecosystem services; Recreation; Environmental resource management; Business; Ecosystem; Environmental planning; Political science; Geography; Environmental science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002149649,0.000121068,0.000139979,0.000008206551,0.0002488221,0.00006186067,0.0003440908,0.00004706923,0.0004072122],"category_scores_gemma":[9.541985e-7,0.00006734256,0.00004666258,0.00004625751,0.00002867499,0.0004169959,0.0002513918,0.00006126443,0.0008974474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008100007,"about_ca_system_score_gemma":0.000002976018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008174,"about_ca_topic_score_gemma":0.006028101,"domain_scores_codex":[0.9990312,0.00006452501,0.0002638468,0.0001987202,0.0002523244,0.0001894163],"domain_scores_gemma":[0.999442,0.000043893,0.0001906849,0.0002577573,0.000004107846,0.00006154436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001383479,0.0002707889,0.8702306,0.00048764,0.0001518939,0.000005947923,0.006038381,0.0004675177,0.0671254,0.001656356,0.0006507922,0.05290086],"study_design_scores_gemma":[0.0006312263,0.0002827848,0.9392637,0.0001655559,0.00003936357,0.00001770203,0.02294617,0.01522334,0.008220145,0.003573038,0.009088462,0.0005485298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918672,0.0003862728,0.000001713638,0.000602559,0.0001126857,0.0002286873,0.000003657868,0.00002096659,0.006776212],"genre_scores_gemma":[0.9994007,0.0001922305,0.0002191611,0.0000509857,0.00004306174,0.00004918473,0.000005862095,0.000008555334,0.00003025187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0690331,"threshold_uncertainty_score":0.9998805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007236556214327225,"score_gpt":0.212428609395712,"score_spread":0.2051920531813848,"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."}}