{"id":"W4231524919","doi":"10.1787/sti_outlook-2008-39-en","title":"South Africa","year":2008,"lang":"en","type":"book-chapter","venue":"OECD science, technology and industry outlook","topic":"Local Economic Development and Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0007831462,0.0002686497,0.0003520425,0.001542699,0.002031577,0.0001016592,0.0008596392,0.002581345,0.001270209],"category_scores_gemma":[0.0001045477,0.0002672582,0.00004928163,0.0003232608,0.008371051,0.000284344,0.000288615,0.001682555,0.000636756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501109,"about_ca_system_score_gemma":0.001478559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001048979,"about_ca_topic_score_gemma":0.00001380504,"domain_scores_codex":[0.998005,0.00001074456,0.0002913497,0.0006659607,0.0003627545,0.0006641811],"domain_scores_gemma":[0.9991509,0.00004373502,0.0002091169,0.0002825572,0.000080228,0.0002334843],"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":[0.000007511897,0.00001102609,0.003235293,0.000006131502,0.00003737841,0.00008236746,0.01012792,0.000001023976,0.000009194063,0.9189835,0.03126869,0.03622997],"study_design_scores_gemma":[0.0001412206,0.00002820043,0.0000893921,0.00004873993,0.00001304882,0.00001409569,0.001096176,0.000003160538,0.0000224144,0.01864589,0.9795277,0.0003699842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004318402,0.0006005061,0.000004286429,0.001461763,0.0005107655,0.0001862454,0.00001440356,0.0002692814,0.9926344],"genre_scores_gemma":[0.1064731,0.0002748187,0.0002273644,0.0001988122,0.0002100889,0.000006781358,0.000004153675,0.00001731886,0.8925875],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.948259,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03398105956872206,"score_gpt":0.2497243041210956,"score_spread":0.2157432445523735,"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."}}