{"id":"W4291302432","doi":"10.1016/j.jclepro.2022.133609","title":"Extraction of astaxanthin from atlantic shrimp by-products using fish oil: Process optimization and operational parameter effects","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Ocean Frontier Institute","keywords":"Astaxanthin; Shrimp; Fish oil; Extraction (chemistry); Yield (engineering); Carotenoid; Chemistry; Food science; Emulsion; Chromatography; Fishery; Pulp and paper industry; Fish <Actinopterygii>; Biology; Organic chemistry; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003919926,0.0006762668,0.000425229,0.0002747251,0.0002837416,0.0004284361,0.0001851821,0.0003011801,0.0007905102],"category_scores_gemma":[0.0004985399,0.0001792406,0.0005208359,0.0004263904,0.0003031442,0.0006192585,0.0004020621,0.0005733805,0.0003139132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002944008,"about_ca_system_score_gemma":0.0005355676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546665,"about_ca_topic_score_gemma":0.003470117,"domain_scores_codex":[0.9997771,0.00002892425,0.00003101923,0.00005284385,0.0000668283,0.00004319922],"domain_scores_gemma":[0.9998617,0.00004544515,0.00003447457,0.00001242729,0.00003178437,0.00001416075],"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":[0.0004116138,0.00004737079,0.0003502,0.00008438099,0.00001029132,0.00004461914,0.00003978349,0.0004476682,0.9950082,0.00003266701,0.00001537633,0.003507785],"study_design_scores_gemma":[0.00000994136,0.0002456003,0.001117454,0.000005595146,0.00002410392,0.00002655574,0.00003498051,0.001089707,0.9969603,0.00002002918,0.0004572753,0.000008426926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921406,0.0005986643,0.006141949,0.0000626454,0.00002076613,0.00006359685,0.0002001959,0.00003795152,0.0007336475],"genre_scores_gemma":[0.9894907,0.0008917418,0.007507798,0.00003113665,0.000008056012,0.00004453871,0.0002526533,0.00002984575,0.00174363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001546665,"threshold_uncertainty_score":0.003075361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792251242245968,"score_gpt":0.2851292126474244,"score_spread":0.2672067002249647,"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."}}