{"id":"W3107227413","doi":"10.23960/jiia.v8i1.132-136","title":"ANALISIS KEPUASAN KONSUMEN DAN BAURAN PEMASARAN PADA AGROINDUSTRI KOPI BUBUK CAP JEMPOL DI KOTA BANDAR LAMPUNG","year":2020,"lang":"id","type":"article","venue":"Jurnal Ilmu Ilmu Agribisnis: Journal of Agribusiness Science","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agribrands Purina (Canada)","funders":"","keywords":"Snowball sampling; Business; Marketing mix; Customer satisfaction; Marketing; Coffee shop; Agricultural science; Advertising; Mathematics; Statistics","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","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.007352591,0.001314611,0.002040219,0.001041975,0.00356479,0.004065792,0.00498204,0.0006274609,0.0003278077],"category_scores_gemma":[0.004924481,0.001082387,0.0009475196,0.01047241,0.003461733,0.007035105,0.001022016,0.002362268,0.00006827668],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135687,"about_ca_system_score_gemma":0.006939825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003870555,"about_ca_topic_score_gemma":0.0001985634,"domain_scores_codex":[0.9845631,0.0007057763,0.003461485,0.001603069,0.006759802,0.002906811],"domain_scores_gemma":[0.987441,0.0008926978,0.003968958,0.0006422591,0.003900673,0.00315438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00252653,0.001959751,0.7760823,0.0009847917,0.001279698,0.003554745,0.04520282,0.001217243,0.04873098,0.003357913,0.04373542,0.07136781],"study_design_scores_gemma":[0.00585212,0.001524122,0.8117406,0.004215037,0.0009056218,0.001116105,0.04739382,0.0008202412,0.01144704,0.0002545886,0.1106107,0.004119996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951195,0.002634074,0.0002062308,0.02335895,0.004095856,0.0007214276,0.00006184974,0.0001138892,0.01761273],"genre_scores_gemma":[0.9919978,0.001687283,0.0005043955,0.00128354,0.003670618,0.000006750604,0.00001813314,0.00008762877,0.0007438404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06724782,"threshold_uncertainty_score":0.9999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491253174950863,"score_gpt":0.2722724224792786,"score_spread":0.23735989072977,"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."}}