{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009587605,0.0001160017,0.0001640192,0.00003481447,0.0002687028,0.0007637306,0.0003391713,0.00004434745,0.000008586832],"category_scores_gemma":[0.002638715,0.00008623309,0.00003751399,0.0009200186,0.0001982813,0.0009815049,0.0008745256,0.00008570719,0.000004633178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087024,"about_ca_system_score_gemma":0.001388952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005150511,"about_ca_topic_score_gemma":0.00001037029,"domain_scores_codex":[0.998684,0.00008539144,0.0002992755,0.0004065267,0.0001316264,0.0003931868],"domain_scores_gemma":[0.997916,0.0001706087,0.00006943568,0.0005290758,0.001253305,0.0000616134],"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":[0.00001776592,0.00003092808,0.05889384,0.00006929154,0.00001074365,0.00003016129,0.0005678382,0.00001015117,2.017784e-7,0.93207,0.0006172868,0.007681827],"study_design_scores_gemma":[0.0008286014,0.00001366416,0.05374751,0.000002597103,0.000002746164,0.00002111411,0.002304569,0.0007541345,0.00006163296,0.9242133,0.01792177,0.000128368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7380574,0.0003502051,0.1376959,0.09238829,0.0002271464,0.000791378,0.000004186811,0.0001841197,0.03030139],"genre_scores_gemma":[0.9958981,0.000003506141,0.0008767846,0.001101326,0.0000217965,0.00003504384,0.000004575336,0.000002721009,0.002056195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2578406,"threshold_uncertainty_score":0.7364671,"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."}}