{"id":"W3150188164","doi":"10.36387/jiis.v6i1.646","title":"METODE SPEKTROSKOPI ATR-FTIR TANDEM PCA UNTUK MENDETEKSI KOPI ROBUSTA SEBAGAI ADULTERAN DALAM SEDIAAN KOPI ARABIKA TORAJA KOMERSIAL","year":2021,"lang":"en","type":"article","venue":"Jurnal Ilmiah Ibnu Sina (JIIS) Ilmu Farmasi dan Kesehatan","topic":"Coffee research and impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Arabica coffee; Food science; Mathematics; Chemistry; Horticulture; Biology","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001421396,0.001464807,0.00228251,0.0009578556,0.0009021388,0.0008315154,0.001079815,0.0007297453,0.001347062],"category_scores_gemma":[0.00142486,0.001344377,0.001210009,0.002384058,0.0006411703,0.001487368,0.0007381702,0.003084533,0.0001842599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757276,"about_ca_system_score_gemma":0.002770492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002304432,"about_ca_topic_score_gemma":0.0004661577,"domain_scores_codex":[0.9886526,0.0008694202,0.001830798,0.002004788,0.003302221,0.003340203],"domain_scores_gemma":[0.9919732,0.0005137273,0.000592503,0.002207573,0.001195069,0.003517909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005847217,0.005913174,0.3399997,0.002800966,0.005359474,0.03006834,0.005633061,0.0003255817,0.3987868,0.002839178,0.07539626,0.1270302],"study_design_scores_gemma":[0.02494014,0.005790807,0.2053943,0.002355162,0.002155284,0.006875666,0.005816382,0.003834837,0.1304753,0.0002899077,0.6081237,0.003948544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555072,0.004147576,0.0003407845,0.01164486,0.002138104,0.00175022,0.0003246665,0.0005246004,0.02362205],"genre_scores_gemma":[0.9720073,0.002626294,0.002316428,0.00142022,0.004014855,0.00007826489,0.001411682,0.000295399,0.0158296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5327274,"threshold_uncertainty_score":0.9998102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957661179536941,"score_gpt":0.3098716055252206,"score_spread":0.2802949937298512,"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."}}