{"id":"W4392375370","doi":"10.3390/land13030323","title":"Counteract Soil Consumption through Ecosystem Services and Landscape Restoration for an Efficient Urban Regeneration","year":2024,"lang":"en","type":"article","venue":"Land","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Ecosystem services; Regeneration (biology); Ecosystem; Restoration ecology; Consumption (sociology); Environmental resource management; Environmental science; Agroforestry; Geography; Ecology; Biology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001899054,0.00008956674,0.00008934985,0.00001670582,0.00013786,0.0002287172,0.00005611213,0.00005410712,0.0001009388],"category_scores_gemma":[0.000001121657,0.00006493043,0.00001808795,0.0000505257,0.000004157868,0.0004590404,0.00002161464,0.00003075503,0.0001284167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003474409,"about_ca_system_score_gemma":0.000004194972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005352904,"about_ca_topic_score_gemma":0.02914043,"domain_scores_codex":[0.9993387,0.00003077957,0.000138931,0.0002539039,0.0001176512,0.0001199975],"domain_scores_gemma":[0.9997647,0.00003248961,0.00003844678,0.0001172206,0.000006754829,0.00004032871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001657257,0.000107983,0.9369758,0.00224342,0.00005304116,0.000009355208,0.007359568,0.04137636,0.006470408,0.0003729798,0.003271936,0.001593452],"study_design_scores_gemma":[0.0003981088,0.0001421956,0.02047219,0.0001643883,0.00004084015,0.00001876134,0.0001066655,0.9524415,0.0006939989,0.0001423697,0.02519561,0.0001833778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978099,0.0005864809,0.0004006962,0.0001057546,0.000349917,0.0002481341,0.00005463523,0.00007255039,0.0003719673],"genre_scores_gemma":[0.9992826,0.00006583148,0.00009822092,0.00007088421,0.0002139087,0.00003558634,0.0001725181,0.0000106887,0.00004977771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9165036,"threshold_uncertainty_score":0.9885752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531673260071374,"score_gpt":0.2439986083375512,"score_spread":0.2286818757368375,"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."}}