{"id":"W2752933376","doi":"","title":"PEMODELAN REGRESI MULTILEVEL ZERO-INFLATED GENERALIZED POISSON DAN REGRESI MULTILEVEL ZERO-INFLATED POISSON PADA DATA RESPON COUNT","year":2017,"lang":"id","type":"other","venue":"Hasanuddin University Repository","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson distribution; Count data; Mathematics; Zero (linguistics); Statistics; Zero-inflated model; Poisson regression; Population; Medicine","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001968358,0.002512804,0.003387416,0.00102957,0.002736138,0.0008137912,0.006153467,0.003337813,0.001284707],"category_scores_gemma":[0.003034595,0.002650381,0.0006932105,0.0004420977,0.001373692,0.0009494681,0.002638206,0.002678513,0.0003184447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565276,"about_ca_system_score_gemma":0.001570127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005295077,"about_ca_topic_score_gemma":0.0004470419,"domain_scores_codex":[0.986944,0.003057868,0.001828342,0.003981881,0.002088286,0.002099683],"domain_scores_gemma":[0.9824524,0.002240252,0.004023801,0.008854262,0.001106539,0.001322751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0102019,0.002572643,0.001546661,0.003810347,0.005213866,0.01575814,0.004987378,0.0000355917,0.06159865,0.05400703,0.7905564,0.04971145],"study_design_scores_gemma":[0.01528682,0.0009224255,0.00586181,0.00926228,0.004718686,0.0005905734,0.0004883799,0.1129075,0.006136671,0.007232781,0.8293646,0.007227455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01229031,0.001657738,0.7314959,0.0005218246,0.007798143,0.00670207,0.01036464,0.001936059,0.2272334],"genre_scores_gemma":[0.01102967,0.001191984,0.2930121,0.000118453,0.0008036664,0.000010672,0.002342662,0.0008941101,0.6905966],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4633633,"threshold_uncertainty_score":0.9996282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08590855819995726,"score_gpt":0.3269987620624191,"score_spread":0.2410902038624619,"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."}}