{"id":"W4365999602","doi":"10.1201/9781003346081-16","title":"Marine Macroalgae for Industrial Extraction of Valuable Biofunctional Compounds Using Biorefinery","year":2023,"lang":"en","type":"book-chapter","venue":"Apple Academic Press eBooks","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biorefinery; Extraction (chemistry); Biochemical engineering; Chemistry; Environmental science; Pulp and paper industry; Engineering; Chromatography; Waste management; Biofuel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003986487,0.0003161029,0.000478825,0.00003529132,0.0001737394,0.00001543821,0.000345557,0.001981897,0.0002303694],"category_scores_gemma":[0.00004324907,0.0001548309,0.0002116301,0.00002459897,0.0002270007,0.00004852286,0.0002353593,0.001021734,0.000009587948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004179243,"about_ca_system_score_gemma":0.00004379871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004909242,"about_ca_topic_score_gemma":0.00002657687,"domain_scores_codex":[0.9982885,0.00003313504,0.0006259315,0.0004670802,0.0002518102,0.0003336088],"domain_scores_gemma":[0.9986258,0.0005658458,0.0005518166,0.00008985925,0.00008191357,0.00008473158],"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":[0.001036872,0.00006027705,0.0002870246,0.0001709483,0.0005827121,0.00000721805,0.00004229948,0.00004178827,0.5525541,0.1544322,0.07267912,0.2181055],"study_design_scores_gemma":[0.0006202241,0.0004368928,0.00006631838,0.000200628,0.0002110205,0.00003633617,0.00002966606,0.0003793712,0.01180847,0.02526578,0.9603856,0.0005597419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1240668,0.0009478868,0.0001713859,0.001411136,0.008557888,0.007502819,0.01222754,0.001050242,0.8440643],"genre_scores_gemma":[0.02614331,0.0002073698,0.0004066447,0.0002611825,0.007280667,0.0001950095,0.003729319,0.0000250389,0.9617515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8877064,"threshold_uncertainty_score":0.9993137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2566597435462656,"score_gpt":0.3027383828551415,"score_spread":0.04607863930887596,"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."}}