{"id":"W4392903734","doi":"10.1073/pnas.2215688121","title":"Equity and modeling in sustainability science: Examples and opportunities throughout the process","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Water resources management and optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Social Sciences and Humanities Research Council; Agence Nationale de la Recherche; National Science Foundation","keywords":"Futures contract; Sustainability; Equity (law); Cognitive reframing; Sustainability science; Management science; Computer science; Knowledge management; Process management; Risk analysis (engineering); Business; Political science; Sustainability organizations; Economics; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02491381,0.001296611,0.00112746,0.003033838,0.004313013,0.008752381,0.002627552,0.005423807,0.003197608],"category_scores_gemma":[0.02269629,0.0005777442,0.001269774,0.003657628,0.0263906,0.01913942,0.01005759,0.01052673,0.0004617828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005346207,"about_ca_system_score_gemma":0.003688878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005243822,"about_ca_topic_score_gemma":0.005270616,"domain_scores_codex":[0.9836503,0.01325668,0.0003988881,0.0005773089,0.001675539,0.0004412388],"domain_scores_gemma":[0.9755249,0.02100212,0.0004135458,0.001782123,0.0008651469,0.0004122757],"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":[0.000006412306,0.0000163729,0.0001596428,0.00009974169,0.000006912941,0.00005466806,0.00154736,0.002299424,0.00004282038,0.9839155,0.001978499,0.009872653],"study_design_scores_gemma":[0.000005002449,0.000008724019,0.00006456346,0.0003200589,0.000005177191,0.0000456217,0.0008809955,0.005119899,0.0001072793,0.9515447,0.04188337,0.00001459047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01651205,0.0769098,0.5139906,0.2736119,0.002010038,0.0001285282,0.0001168884,0.0002932063,0.1164271],"genre_scores_gemma":[0.564988,0.08245806,0.3206452,0.01424755,0.002827015,0.0006988352,0.0001545563,0.0004650747,0.01351567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02491381,"threshold_uncertainty_score":0.1317585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054380354197371,"score_gpt":0.3465499237346625,"score_spread":0.2411118883149254,"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."}}