{"id":"W1485547875","doi":"10.1533/9780857090751.2.619","title":"Supercritical-fluid extraction of lycopene from tomatoes","year":2010,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Lycopene; Supercritical fluid; Extraction (chemistry); Supercritical fluid extraction; Solubility; Chromatography; Particle size; Solvent; Yield (engineering); Chemistry; Supercritical carbon dioxide; Materials science; Food science; Organic chemistry; Carotenoid","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":[0.0001049914,0.00042132,0.0002626059,0.0005261237,0.0002041554,0.0002510635,0.0001790852,0.0002380187,0.004047253],"category_scores_gemma":[0.00007924649,0.0001202266,0.0002286976,0.0003583396,0.0001827637,0.0006048094,0.0002066176,0.0004331372,0.002082002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247444,"about_ca_system_score_gemma":0.0002218079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007953595,"about_ca_topic_score_gemma":0.002127515,"domain_scores_codex":[0.9999616,0.000002929504,0.000002561605,0.00000785332,0.00002084415,0.000004253438],"domain_scores_gemma":[0.9999747,0.000009141749,0.000003211643,0.000003132049,0.000006563615,0.000003195103],"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":[0.00004843909,0.00003189305,0.00008680689,0.0002290936,0.000007828245,0.0001416675,0.00006723557,0.0003161398,0.9518974,0.0005401283,0.0007006789,0.04593268],"study_design_scores_gemma":[0.000008733193,0.0001786873,0.001794577,0.00007933745,0.00001833885,0.0004121284,0.00005341298,0.0005458457,0.9287139,0.0006794928,0.06750046,0.00001506623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6348932,0.1125733,0.1056333,0.001531611,0.0007743896,0.0003228119,0.001646717,0.0005962369,0.1420284],"genre_scores_gemma":[0.5117398,0.05355987,0.02750081,0.0006644948,0.0003365774,0.0001728621,0.002644523,0.0002325189,0.4031486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004047253,"threshold_uncertainty_score":0.01353937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921007941366941,"score_gpt":0.2809535327434154,"score_spread":0.261743453329746,"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."}}