{"id":"W2920753726","doi":"","title":"Sustainable Silvopastoral Restoration to Promote Ecosystem Services in Tunisia project Progress Report (Quarter 1)","year":2018,"lang":"en","type":"article","venue":"MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas))","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ecosystem services; Business; Environmental planning; Environmental resource management; Ecosystem; Sustainable development; Natural resource economics; Environmental protection; Geography; Environmental science; Economics; Political science; Ecology","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":[0.004374014,0.0008212959,0.0003349859,0.001156977,0.0007813132,0.001680571,0.0009975794,0.0005123001,0.004682173],"category_scores_gemma":[0.001415428,0.0003141036,0.0004013104,0.00130431,0.0003509583,0.0005116516,0.001915732,0.000604292,0.0007605699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004784604,"about_ca_system_score_gemma":0.02435206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1858345,"about_ca_topic_score_gemma":0.1433602,"domain_scores_codex":[0.9988787,0.0002910551,0.00006933574,0.0000731226,0.0003538928,0.0003340144],"domain_scores_gemma":[0.9980684,0.0000864154,0.0002258568,0.00009755693,0.0008712469,0.0006505789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003552824,0.002624608,0.2891009,0.005247239,0.001337965,0.001445286,0.006090492,0.0165725,0.0297267,0.007855163,0.16278,0.4736663],"study_design_scores_gemma":[0.0004343457,0.001136296,0.6312439,0.0008569851,0.0002561049,0.0002416428,0.004150914,0.002016867,0.01164247,0.0005487449,0.3474213,0.00005043727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7593359,0.01037371,0.004741702,0.01361958,0.0006461411,0.004456563,0.09590343,0.0007224831,0.1102006],"genre_scores_gemma":[0.7864279,0.01253232,0.02563038,0.001784342,0.0001956234,0.00354368,0.08015423,0.0002021998,0.08952938],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1858345,"threshold_uncertainty_score":0.3695056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04418502718732482,"score_gpt":0.3289501231206107,"score_spread":0.2847650959332859,"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."}}