{"id":"W4415982766","doi":"10.34689/sh.2025.27.4.016","title":"STAFFING OF THE DENTAL SERVICE IN THE REGIONS OF KAZAKHSTAN: A 2014-2024 ANALYSIS","year":2025,"lang":"ru","type":"article","venue":"Ġylym men densaulyķ saķtau.","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montréal InVivo","funders":"","keywords":"Staffing; Service (business); Christian ministry; Distribution (mathematics); Human resources; Statistical analysis; Unit (ring theory); Rural area; Skill mix","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005277082,0.000370922,0.0008226945,0.00115467,0.0008939162,0.00006926484,0.002101931,0.0004211779,0.002185702],"category_scores_gemma":[0.001469339,0.000261487,0.0004624502,0.009605738,0.0003687371,0.0003159136,0.0009012264,0.001856613,0.0002717796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007671588,"about_ca_system_score_gemma":0.002905753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01794759,"about_ca_topic_score_gemma":0.02218769,"domain_scores_codex":[0.9911144,0.004211924,0.001665504,0.0006566451,0.001450651,0.0009008383],"domain_scores_gemma":[0.9926473,0.003067923,0.00104904,0.002273879,0.0008197203,0.0001420975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004619907,0.001928634,0.8434349,0.002306323,0.002056247,0.00002166489,0.07221704,0.0002042239,0.001134632,0.009448444,0.06559715,0.001188775],"study_design_scores_gemma":[0.001172755,0.00005306667,0.7204093,0.0009266953,0.0018934,0.000007708289,0.262285,0.001289242,0.0003702501,0.001329287,0.01002326,0.0002400758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9058311,0.003660853,0.00006409515,0.03991894,0.001492678,0.002435061,0.0002234246,0.0000224619,0.04635138],"genre_scores_gemma":[0.9678869,0.0005909147,0.00007397762,0.00180893,0.0001158081,0.0001074233,0.00003889749,0.00003793982,0.02933926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1900679,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905790633725852,"score_gpt":0.4572178037552736,"score_spread":0.4081598974180151,"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."}}