{"id":"W3197906071","doi":"10.3390/su13179711","title":"IT-Enabled Sustainable Innovation and the Global Digital Divides","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Economic Growth and Development","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Information and Communications Technology; Context (archaeology); Business; Digital divide; Human capital; Knowledge economy; Sustainability; Sustainable development; Economic growth; Knowledge management; Economic system; Economics; Political science; Computer science; Geography","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":[0.001591398,0.0001658157,0.0003091036,0.004376087,0.0009077733,0.003328157,0.0002563169,0.0004077723,0.003992441],"category_scores_gemma":[0.007248966,0.00008918717,0.0003747951,0.008116118,0.003095281,0.007305551,0.00471791,0.0008675593,0.0001935862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165356,"about_ca_system_score_gemma":0.001481394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004017808,"about_ca_topic_score_gemma":0.00584667,"domain_scores_codex":[0.9986886,0.0003859763,0.00009857382,0.0001497428,0.0004072093,0.0002698954],"domain_scores_gemma":[0.993625,0.003322018,0.001846599,0.0005052951,0.0004202206,0.000280725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009187708,0.0001306327,0.4536186,0.0004696795,0.0001213928,0.0006890262,0.0192012,0.006385074,0.0005356356,0.3461933,0.002296509,0.1702671],"study_design_scores_gemma":[0.00001714109,0.00009011217,0.6428835,0.0009856801,0.00007078491,0.0004997724,0.05730888,0.0045779,0.001107106,0.1916742,0.100734,0.00005099185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919127,0.002655915,0.003141627,0.002122839,0.00002660275,0.00003081891,0.0006544879,0.0000131194,0.0722276],"genre_scores_gemma":[0.9980434,0.0006627956,0.000336403,0.00006976992,0.0000121614,0.00001530843,0.0002018271,0.000004456178,0.0006539241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004376087,"threshold_uncertainty_score":0.01335603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005905508663078755,"score_gpt":0.2245986983955386,"score_spread":0.2186931897324598,"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."}}