{"id":"W3116012584","doi":"10.31590/ejosat.747799","title":"Siyah Kuşburnu Meyvesinden Süperkritik CO2 Ekstraksiyonu ile Doğal Pigment Eldesinin Yüzey Yanıt Yöntemi Kullanılarak Modellenmesi ve Optimizasyonu","year":2020,"lang":"tr","type":"article","venue":"European Journal of Science and Technology","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Supercritical carbon dioxide; Extraction (chemistry); Solvent; Pigment; Chemistry; Ethanol; Anthocyanin; Chromatography; Carbon dioxide; Supercritical fluid extraction; Bar (unit); Supercritical fluid; Response surface methodology; Materials science; Food science; Biochemistry; Organic chemistry","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":[0.0004035231,0.0009408197,0.0006882003,0.000444175,0.0002877797,0.001139033,0.0005704355,0.0007526065,0.003328971],"category_scores_gemma":[0.0005832357,0.0003449503,0.0008503684,0.0004211836,0.0002790662,0.000944768,0.0004169829,0.0006629372,0.0007198207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006550452,"about_ca_system_score_gemma":0.000794121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009417144,"about_ca_topic_score_gemma":0.009082264,"domain_scores_codex":[0.9997959,0.00002753025,0.00001074157,0.00006182037,0.00007628658,0.00002780954],"domain_scores_gemma":[0.9997986,0.00007491779,0.0000253523,0.00001873795,0.00007376158,0.000008594287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008810551,0.0002837842,0.01213658,0.001175402,0.0002262822,0.0003326387,0.000362866,0.6148244,0.1608244,0.005033114,0.003540846,0.2003785],"study_design_scores_gemma":[0.00002378645,0.0002640623,0.007480128,0.00005454459,0.0001022119,0.0001265215,0.0002383639,0.8928052,0.08691545,0.00245916,0.00945076,0.00007973158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4618837,0.004841899,0.5090778,0.0006536008,0.0002599685,0.0002586214,0.001396473,0.002228189,0.01939967],"genre_scores_gemma":[0.9257852,0.001859216,0.05440257,0.0000648139,0.00002347144,0.0001770029,0.0007519278,0.0002004295,0.01673537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009417144,"threshold_uncertainty_score":0.01872468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264617115216076,"score_gpt":0.2397551526124772,"score_spread":0.2171089814603164,"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."}}