{"id":"W7091606490","doi":"10.14749/30361906","title":"Tracking the communication environment: South African Revenue Services: quarter 16 report","year":2025,"lang":"en","type":"article","venue":"Human Science Research Council SA","topic":"Local Economic Development and Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Tracking (education); Revenue; Tracking system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003751243,0.0004604889,0.0001704547,0.00231564,0.001809973,0.003248484,0.0007458761,0.001236764,0.02745013],"category_scores_gemma":[0.01510052,0.0003775118,0.0002333071,0.004719953,0.0002768412,0.00207942,0.001669639,0.001375022,0.007265738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003790867,"about_ca_system_score_gemma":0.01809486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1549443,"about_ca_topic_score_gemma":0.1810043,"domain_scores_codex":[0.9970633,0.0005624896,0.0001946104,0.000131434,0.001370231,0.0006779874],"domain_scores_gemma":[0.9838067,0.002803072,0.002460403,0.0005680398,0.008343985,0.002017682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002603641,0.0002998565,0.1685998,0.0008356918,0.00004313745,0.0002986586,0.003976553,0.001257143,0.001631884,0.001997547,0.642994,0.1778054],"study_design_scores_gemma":[0.00003756976,0.0002054228,0.4912828,0.0008304743,0.00006595944,0.0002282509,0.01247852,0.001855323,0.004172531,0.0004516567,0.4883429,0.00004852513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4794764,0.003661226,0.002987597,0.08776955,0.002040292,0.001643927,0.139783,0.001264679,0.2813734],"genre_scores_gemma":[0.6309003,0.009487961,0.005900284,0.005328211,0.0005506085,0.001168669,0.04184202,0.0004717133,0.3043502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549443,"threshold_uncertainty_score":0.3080847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2024861831102372,"score_gpt":0.390306451383002,"score_spread":0.1878202682727648,"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."}}