{"id":"W2971582202","doi":"10.1109/mra.2019.2928738","title":"AI: A Key Enabler of Sustainable Development Goals, Part 1 [Industry Activities]","year":2019,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Enabling; Paradigm shift; Key (lock); Process (computing); Revenue; Field (mathematics); Business; Humanity; Computer science; Engineering; Computer security; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003239646,0.0009637011,0.0004174701,0.00205461,0.003023098,0.01639273,0.001314269,0.006946808,0.01839356],"category_scores_gemma":[0.004497509,0.000339234,0.0004160893,0.00331499,0.00880767,0.01098067,0.007472085,0.004782055,0.00856641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004053246,"about_ca_system_score_gemma":0.009007284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343352,"about_ca_topic_score_gemma":0.005285491,"domain_scores_codex":[0.9973918,0.0007520874,0.0001794697,0.0003118289,0.001035401,0.000329488],"domain_scores_gemma":[0.9977874,0.0005340859,0.000214064,0.0002696477,0.0007639604,0.0004307581],"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":[0.00001252491,0.00003708607,0.0003148753,0.0003063935,0.000008239042,0.00009082819,0.001024235,0.0004146241,0.0004923517,0.670689,0.2273694,0.09924043],"study_design_scores_gemma":[0.000002782119,0.00001523281,0.0004950257,0.0004790022,0.000003779054,0.0000677449,0.0004613613,0.0002194414,0.000252854,0.1267029,0.8712874,0.00001240067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002960688,0.03181159,0.01619414,0.2032929,0.005261941,0.0001916211,0.0005017241,0.000699868,0.7390854],"genre_scores_gemma":[0.2661971,0.126338,0.05418868,0.08897333,0.01074509,0.001130251,0.002629393,0.001085985,0.4487121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01839356,"threshold_uncertainty_score":0.06153256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031017262464762,"score_gpt":0.2627993297059846,"score_spread":0.2317820672412226,"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."}}