{"id":"W7090784353","doi":"10.14749/30351766","title":"Tracking the communication environment: South African Revenue Services: quarter 19 report","year":2025,"lang":"en","type":"article","venue":"Human Science Research Council SA","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Demographics; Revenue; Tracking (education); Population; Key (lock)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02195691,0.0001027188,0.0001258984,0.0001644693,0.002632113,0.0006187195,0.001660818,0.00003967711,0.0007688389],"category_scores_gemma":[0.0004111882,0.00007054263,0.00004293004,0.00115046,0.001016192,0.0004387493,0.0001829756,0.0004096208,0.0002481133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157242,"about_ca_system_score_gemma":0.001397881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02748817,"about_ca_topic_score_gemma":0.05129104,"domain_scores_codex":[0.9947087,0.000330845,0.0003027657,0.000443756,0.003629259,0.0005847354],"domain_scores_gemma":[0.9977237,0.000230538,0.0001018819,0.001164048,0.0006342269,0.0001456052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001681192,0.0002625399,0.6168314,0.0007529153,0.00009980101,0.0003562129,0.07638595,0.001615925,0.001929989,0.008591383,0.06178226,0.2312235],"study_design_scores_gemma":[0.0002448228,0.0001220115,0.2648537,0.0001520888,0.00001038466,0.00004185667,0.01667167,0.005746696,0.00004948461,0.008496811,0.7033738,0.0002366293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4555449,0.001068849,0.00008045168,0.002075585,0.0001572421,0.0006877207,0.00006327021,0.00004890484,0.5402731],"genre_scores_gemma":[0.9938211,0.00005285185,0.00003101305,0.0001393029,0.00005549056,0.00001109787,0.00001896978,0.000002115188,0.005868005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6415915,"threshold_uncertainty_score":0.9986663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191352558180492,"score_gpt":0.3132920158951545,"score_spread":0.1941567600771053,"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."}}