{"id":"W3110931412","doi":"10.26418/bbimst.v8i4.36002","title":"ANALISIS REGRESI LOGISTIK MULTINOMIAL PADA PEMILIHAN ALAT KONTRASEPSI WANITA (Studi Kasus di Puskesmas Sungai Kakap)","year":2019,"lang":"id","type":"article","venue":"Bimaster Buletin Ilmiah Matematika Statistika dan Terapannya","topic":"Healthcare Quality and Satisfaction","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities; Gynecology; Medicine; Art","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.004777396,0.002436224,0.003853728,0.0009509642,0.002673196,0.000652845,0.001535992,0.002168524,0.00631913],"category_scores_gemma":[0.001878923,0.002359399,0.0007600652,0.001207426,0.0008344347,0.001082734,0.0008767053,0.004256125,0.009634037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741915,"about_ca_system_score_gemma":0.001556528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358455,"about_ca_topic_score_gemma":0.004077544,"domain_scores_codex":[0.9741639,0.009588003,0.006249011,0.00321597,0.002547346,0.004235742],"domain_scores_gemma":[0.9848865,0.005169733,0.003597482,0.003143221,0.001445675,0.001757437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003487379,0.001688338,0.7241333,0.04346734,0.001777354,0.0009823057,0.05635023,0.00007019991,0.004086514,0.008859483,0.1307615,0.02433606],"study_design_scores_gemma":[0.01356239,0.002518356,0.8231302,0.009961763,0.000990377,0.000196425,0.05855729,0.003081122,0.0009009076,0.0007901427,0.08074103,0.005570009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459622,0.002046352,0.003937395,0.01083572,0.01099895,0.01018498,0.007457009,0.0008268131,0.007750574],"genre_scores_gemma":[0.9731138,0.0009076818,0.004487567,0.002843388,0.001616852,0.000678,0.002792003,0.0005421357,0.01301859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09899687,"threshold_uncertainty_score":0.9991269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940762449310714,"score_gpt":0.3671330767734496,"score_spread":0.3077254522803425,"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."}}