{"id":"W2760778889","doi":"10.5539/jsd.v10n5p173","title":"A Quantitative Nexus Approach to Analyze the Interlinkages across the Sustainable Development Goals","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Sustainable development; Set (abstract data type); Process (computing); Management science; Process management; Environmental economics; Computer science; Environmental planning; Environmental resource management; Political science; Business; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005442846,0.0003074354,0.0006734162,0.0003114243,0.002718912,0.00134179,0.001849987,0.0001079722,0.00005825442],"category_scores_gemma":[0.001030866,0.0002135651,0.0001839043,0.0002625076,0.0001844754,0.0008086651,0.0009462726,0.0004182995,0.0001479163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190676,"about_ca_system_score_gemma":0.0004051316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002827743,"about_ca_topic_score_gemma":0.00006418034,"domain_scores_codex":[0.9968456,0.00003849053,0.001510881,0.0003541504,0.0001229225,0.001127969],"domain_scores_gemma":[0.9965897,0.0001573558,0.00188157,0.0006799587,0.0004798109,0.0002115954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004695306,0.0006140142,0.02175139,0.0005748436,0.001342941,0.0003481577,0.3275877,0.002209421,0.000007707657,0.6266804,0.01488478,0.003529183],"study_design_scores_gemma":[0.0009310987,0.0001464043,0.09985708,0.0000557887,0.0000173368,0.00006525982,0.3182486,0.0003008505,0.0002661409,0.01531639,0.5642525,0.0005426184],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571573,0.001756233,0.007033212,0.009072306,0.0004586302,0.0008811972,0.00001495265,0.00001566304,0.0236105],"genre_scores_gemma":[0.9739777,0.0001620249,0.00575551,0.0009465209,0.0002058534,0.0001119975,0.000004686934,0.0000422773,0.01879346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6113639,"threshold_uncertainty_score":0.9996949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08427426230468896,"score_gpt":0.3068964276575694,"score_spread":0.2226221653528804,"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."}}