{"id":"W2591201481","doi":"","title":"An analytical approach from natural sources ob bioactive compounds to nutraceuticals and functional foods: Development of extraction, characterization and bioactivity evaluation strategies","year":2016,"lang":"en","type":"dissertation","venue":"Dialnet (Universidad de la Rioja)","topic":"Natural Products and Biological Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutraceutical; Characterization (materials science); Extraction (chemistry); Biochemical engineering; Chemistry; Traditional medicine; Computational biology; Biotechnology; Nanotechnology; Biology; Food science; Engineering; Medicine; Materials science; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0006802383,0.0002417847,0.0004187393,0.0002791745,0.000195475,0.0001081981,0.00007667163,0.0004558277,0.00009528237],"category_scores_gemma":[0.0002498526,0.0001782172,0.0000509602,0.0002583639,0.0002183675,0.0003986444,0.00003211781,0.0004327408,0.000002335506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007215,"about_ca_system_score_gemma":0.0005467366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008580984,"about_ca_topic_score_gemma":0.00005000614,"domain_scores_codex":[0.9980901,0.000289332,0.0002372165,0.000580914,0.0005682539,0.0002341656],"domain_scores_gemma":[0.9986101,0.0003407231,0.0001801166,0.000156082,0.0004767544,0.0002362317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004726827,0.0004596541,0.004175832,0.0002010386,0.0004172747,0.000006304794,0.002100311,0.000001671705,0.7965987,0.001563618,0.00003162268,0.1897171],"study_design_scores_gemma":[0.00104963,0.0003683245,0.9777778,0.0001402204,0.0002592519,0.000009017758,0.004701059,0.00141584,0.01274281,0.0005127023,0.0007542774,0.0002690663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958323,0.000296266,0.00150953,0.0002592663,0.0001119209,0.0006239067,0.00007794148,0.00002821707,0.001260713],"genre_scores_gemma":[0.9934943,0.0001080565,0.002132059,0.00002747538,0.0001977767,0.00001356075,0.003611299,0.00001554741,0.0003999146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.973602,"threshold_uncertainty_score":0.7267485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499370959684323,"score_gpt":0.3594153034917922,"score_spread":0.3144215938949489,"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."}}