{"id":"W4393164094","doi":"10.3390/ijgi13040110","title":"Meeting the Challenges of the UN Sustainable Development Goals through Holistic Systems Thinking and Applied Geospatial Ethics","year":2024,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Social Science and Policy Research","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Geospatial analysis; Engineering ethics; Sustainable development; Systems thinking; Sociology; Knowledge management; Political science; Geography; Engineering; Computer science; Cartography; Artificial intelligence","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":[0.005222355,0.00006461667,0.00009966465,0.0001060769,0.0007858388,0.0005801888,0.0006697046,0.00009088569,0.00001220746],"category_scores_gemma":[0.001229959,0.00003818192,0.00005177588,0.0002300314,0.0002303996,0.001398756,0.0001362466,0.0003783272,0.000006488453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247121,"about_ca_system_score_gemma":0.0008779654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190321,"about_ca_topic_score_gemma":0.0001692542,"domain_scores_codex":[0.997462,0.0001801352,0.0004480575,0.00004793576,0.001662143,0.0001997324],"domain_scores_gemma":[0.9980843,0.0006580011,0.0003488661,0.00005680374,0.0008140898,0.00003796066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001228715,0.000006110042,0.0001181304,0.00005754366,0.00005589144,0.000001240399,0.2836687,0.0003143938,0.000007889362,0.7020947,0.0002450633,0.01341811],"study_design_scores_gemma":[0.0004977636,0.00005297735,0.009844841,0.0008784104,0.00004856645,0.00003717553,0.5254935,0.0008237241,0.0006842912,0.08786522,0.3735399,0.0002336702],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5789382,0.008041176,0.01321957,0.1667814,0.0107234,0.001722594,0.00002858614,0.00009365025,0.2204515],"genre_scores_gemma":[0.9981369,0.0009041369,0.0001287825,0.000278382,0.0004647936,0.000006186785,9.114631e-7,0.00000257838,0.00007729133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6142294,"threshold_uncertainty_score":0.6044117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447571441697565,"score_gpt":0.3938185968651669,"score_spread":0.3293428824481913,"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."}}