{"id":"W7126273520","doi":"10.18280/ijdne.201205","title":"Optimizing Ground Roasted Coconut Quality: Effects of Coconut Maturity and Drying Temperature Using Central Composite Design","year":2025,"lang":"","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direcció General de Recerca, Generalitat de Catalunya; Direktorat Riset dan Pengabdian Masyarakat","keywords":"Central composite design; Maturity (psychological); Composite number; Response surface methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583472,0.0006581214,0.0008711996,0.0004735863,0.0001474793,0.0006444443,0.0004635193,0.0003592457,0.0006638153],"category_scores_gemma":[0.001208334,0.0003032236,0.0009089577,0.0004470375,0.0002325704,0.0002239645,0.0002716102,0.0004138894,0.00009127675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412636,"about_ca_system_score_gemma":0.0006578311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951984,"about_ca_topic_score_gemma":0.002340391,"domain_scores_codex":[0.9992888,0.0002231877,0.00005679344,0.0001747902,0.0002017712,0.00005461777],"domain_scores_gemma":[0.9993819,0.0002746119,0.0001429237,0.0000266206,0.0001394877,0.00003439171],"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":[0.004256314,0.00177728,0.004925185,0.001211616,0.0002390816,0.00008793876,0.0002025729,0.06461237,0.8427652,0.0003509683,0.0000917923,0.07947971],"study_design_scores_gemma":[0.0005607774,0.02868227,0.07305529,0.00009004377,0.0008301014,0.0001726172,0.0003073281,0.3847563,0.5076831,0.0004370318,0.003228621,0.0001965441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977427,0.0008911553,0.1000132,0.00002102061,0.00002900281,0.0003731637,0.0001092986,0.0001210131,0.0006995084],"genre_scores_gemma":[0.8972858,0.0005050735,0.1007854,0.00003143707,0.000006756516,0.0004508076,0.000165454,0.00004139026,0.0007279959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001951984,"threshold_uncertainty_score":0.008374274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767701356919371,"score_gpt":0.3184280422221241,"score_spread":0.3007510286529304,"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."}}