{"id":"W4412175859","doi":"10.6000/1929-6029.2025.14.32","title":"Statistical Analysis of Logistics Management Impact on Medical Device Indicators in Indonesian Island Clinics","year":2025,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Business; Statistical analysis; Statistics; Operations management; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004455946,0.0004325711,0.0005991903,0.00232432,0.0003975627,0.001108187,0.0008164385,0.0003280475,0.003886562],"category_scores_gemma":[0.0120155,0.0002367264,0.001755359,0.003369098,0.0006964881,0.0006141502,0.001090409,0.001108715,0.0003089136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009337559,"about_ca_system_score_gemma":0.001665953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021756,"about_ca_topic_score_gemma":0.00598221,"domain_scores_codex":[0.9951996,0.002092701,0.0006616736,0.0007162368,0.0008982148,0.0004316798],"domain_scores_gemma":[0.9799448,0.0114479,0.00499787,0.001014197,0.001630623,0.0009646016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597762,0.00007774106,0.9952096,0.00005736379,0.000244481,0.0001052658,0.0002021861,0.0004668251,0.0000903166,0.00006308434,0.0002982511,0.003025037],"study_design_scores_gemma":[0.000005483539,0.0002077545,0.9940858,0.00002037662,0.00009280949,0.00007129998,0.00102411,0.003991519,0.0001192675,0.00005817049,0.0003151127,0.000008244902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961656,0.0001505449,0.0008449595,0.0001030321,0.00002373581,0.00008569616,0.001453402,0.0000302026,0.001142825],"genre_scores_gemma":[0.9980046,0.00005341234,0.0005668306,0.00001219309,0.000009824591,0.000137911,0.0008695564,0.000006589839,0.0003390401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021756,"threshold_uncertainty_score":0.02356553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357503361674612,"score_gpt":0.4761495641825652,"score_spread":0.4225745305658191,"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."}}