{"id":"W7162076179","doi":"10.82308/11510","title":"Optimization of postharvest processing for hops (Humulus lupulus) and cannabis (Cannabis sativa)","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Postharvest; Biomass (ecology); Cannabis; Extraction (chemistry); Cannabis sativa; Quality (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004351431,0.0004028643,0.000314951,0.0003194222,0.0004220116,0.0008026383,0.0002227158,0.0002412112,0.002409613],"category_scores_gemma":[0.0005180921,0.0002161501,0.00045444,0.0003763578,0.0001759849,0.0005685003,0.0003430858,0.0008961661,0.001017853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876882,"about_ca_system_score_gemma":0.0006876142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867532,"about_ca_topic_score_gemma":0.004870104,"domain_scores_codex":[0.9997689,0.00002506604,0.00001649248,0.00005528329,0.00009190918,0.00004240827],"domain_scores_gemma":[0.9998468,0.00003547454,0.00003936332,0.00001095555,0.00004866413,0.00001875963],"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":[0.0001542295,0.00006134766,0.0004028942,0.0002523325,0.00001697673,0.0000675889,0.00008959071,0.0004516439,0.9890948,0.0001825233,0.000267433,0.008958614],"study_design_scores_gemma":[0.00000741778,0.0003856935,0.007220986,0.00005715305,0.00006836992,0.00008492349,0.0001609892,0.0009268782,0.981822,0.0001250216,0.009112047,0.00002862075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962078,0.005425863,0.01961303,0.0002906362,0.0001555984,0.0004512474,0.002035496,0.0003212096,0.009628943],"genre_scores_gemma":[0.9288421,0.008205668,0.04356541,0.0002849718,0.00003636738,0.0004144342,0.003110439,0.0003465694,0.0151941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002409613,"threshold_uncertainty_score":0.008060932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0743675582370211,"score_gpt":0.4376636879182395,"score_spread":0.3632961296812184,"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."}}