{"id":"W4301395545","doi":"10.1002/fes3.423","title":"A new convergent science framework for food system sustainability in an uncertain climate","year":2022,"lang":"en","type":"article","venue":"Food and Energy Security","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada","funders":"","keywords":"Operationalization; Sustainability; Resilience (materials science); Food systems; Earth system science; Climate change; Sustainability science; Convergence (economics); Systems thinking; Computer science; Risk analysis (engineering); Management science; Environmental resource management; Food security; Business; Sustainability organizations; Environmental science; Geography; Economics; Ecology; Economic growth","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":[0.0008880049,0.0002064845,0.0002210378,0.0000506658,0.0008048615,0.00006060303,0.0003816536,0.00007604792,0.0002460653],"category_scores_gemma":[0.00007516777,0.0001841368,0.00006729281,0.0005514167,0.0003509324,0.0004359215,0.0007422906,0.0002134937,0.000001239273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088953,"about_ca_system_score_gemma":0.00008752775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404907,"about_ca_topic_score_gemma":0.001588998,"domain_scores_codex":[0.9977739,0.0001447394,0.0002631955,0.0006881399,0.0004199487,0.0007101123],"domain_scores_gemma":[0.999132,0.00006281579,0.00008009839,0.0003498412,0.00001102332,0.0003641857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00115376,0.00207516,0.215633,0.0006405488,0.00004995226,0.00004127801,0.03036766,0.05353514,0.0009718381,0.6622561,0.001033015,0.03224257],"study_design_scores_gemma":[0.003264135,0.01410405,0.2586071,0.00005221761,0.0000794948,0.0001092051,0.1409557,0.01718793,0.001969787,0.486058,0.07542093,0.00219135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971612,0.0001099024,0.001135794,0.0005251924,0.0001645803,0.0003305863,0.00008318694,0.00005657845,0.0004329589],"genre_scores_gemma":[0.9987439,0.0000101128,0.0008118668,0.0001665526,0.00004387451,0.0001621013,0.00001826404,0.00001156005,0.00003178274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1761981,"threshold_uncertainty_score":0.7508881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007880438210807852,"score_gpt":0.2349715636900362,"score_spread":0.2270911254792283,"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."}}