{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198176,0.001858889,0.001160244,0.002859396,0.001033857,0.00160806,0.0007706695,0.00105154,0.02978697],"category_scores_gemma":[0.001262263,0.0009843333,0.000682144,0.002685134,0.0005684941,0.001474945,0.001428682,0.001928058,0.01192026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004809287,"about_ca_system_score_gemma":0.0009663357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233313,"about_ca_topic_score_gemma":0.002561961,"domain_scores_codex":[0.9986578,0.0001170465,0.00008169538,0.0004948058,0.0004948631,0.0001537609],"domain_scores_gemma":[0.9993954,0.0001769241,0.00009292796,0.00006459858,0.0002342241,0.00003597435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002999763,0.0000655577,0.001888546,0.0007205675,0.00005402069,0.0004433424,0.0002594366,0.000662408,0.9091428,0.0008444413,0.004050551,0.0815683],"study_design_scores_gemma":[0.00005484691,0.0003463771,0.03076341,0.0002125429,0.0001997492,0.003390775,0.001226152,0.02202103,0.7440914,0.001493262,0.1959463,0.0002541563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2457706,0.01204625,0.6683717,0.00140721,0.001443065,0.0007407544,0.01529427,0.01620557,0.03872058],"genre_scores_gemma":[0.2185878,0.008678596,0.7189817,0.0006528685,0.0001292128,0.001545775,0.01419355,0.003727997,0.03350261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02978697,"threshold_uncertainty_score":0.09964734,"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."}}