{"id":"W4313642914","doi":"10.1007/s11625-023-01290-8","title":"Integrated modeling to achieve global goals: lessons from the Food, Agriculture, Biodiversity, Land-use, and Energy (FABLE) initiative","year":2023,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK; World Resources Institute","keywords":"Food security; Sustainability; Food systems; Environmental resource management; Land use; Agriculture; Agricultural biodiversity; Sustainable development; Environmental planning; Biodiversity; Geography; Business; Natural resource economics; Political science; Economics; 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":[0.01999176,0.0009685631,0.0008081718,0.001182204,0.002118925,0.006296441,0.002639006,0.003203747,0.003369367],"category_scores_gemma":[0.016216,0.0005150759,0.001557503,0.00243599,0.003386008,0.006450051,0.006413355,0.005504276,0.0003053728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006149275,"about_ca_system_score_gemma":0.01044229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03323171,"about_ca_topic_score_gemma":0.04271008,"domain_scores_codex":[0.9934195,0.005297466,0.0001452939,0.0002756705,0.0004539064,0.0004081196],"domain_scores_gemma":[0.9863985,0.01069134,0.0002970617,0.0009904634,0.0008297214,0.0007929407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009558077,0.0004528247,0.005618494,0.0003295336,0.0001888774,0.000220909,0.00565208,0.3328554,0.0004261016,0.5725762,0.01739797,0.06418592],"study_design_scores_gemma":[0.0000908263,0.0001014561,0.001423621,0.0006124739,0.00008492466,0.00003624734,0.008224877,0.2316078,0.0006885593,0.6751545,0.08190287,0.00007185994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1344403,0.007125846,0.5115115,0.1866858,0.00118394,0.0004894454,0.001546385,0.0009191361,0.1560978],"genre_scores_gemma":[0.6469412,0.006689133,0.3348305,0.003069712,0.0002780134,0.0008221052,0.0009696702,0.0004928171,0.005906701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03323171,"threshold_uncertainty_score":0.1057278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695482566948653,"score_gpt":0.2547094260633366,"score_spread":0.22775460039385,"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."}}