{"id":"W4321354464","doi":"10.1016/j.indcrop.2023.116442","title":"Optimization of wiped-film short path molecular distillation for recovery of cannabinoids from cannabis oil using response surface methodology","year":2023,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sonaca (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distillation; Chemistry; Cannabinoid; Chromatography; Vacuum distillation; Response surface methodology; Condensation; Pulp and paper industry; Thermodynamics; Biochemistry; Engineering","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":[0.0005114707,0.000840804,0.0004772336,0.0002658914,0.0002650665,0.000376127,0.0006199001,0.0005422102,0.001420602],"category_scores_gemma":[0.0006281257,0.0003019037,0.00056464,0.0003314044,0.0002939003,0.0004302053,0.000377429,0.0008841092,0.0008040948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028512,"about_ca_system_score_gemma":0.0004748378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079651,"about_ca_topic_score_gemma":0.002419033,"domain_scores_codex":[0.9995222,0.00007773736,0.0000286222,0.00008464771,0.0002083054,0.00007849394],"domain_scores_gemma":[0.999801,0.00007484513,0.00003265662,0.00001872096,0.00005646311,0.00001631594],"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":[0.00007286687,0.00004337891,0.00005267584,0.00007435245,0.00001015241,0.00003492815,0.00001612719,0.000300995,0.9960472,0.00007236279,0.00007395593,0.003200947],"study_design_scores_gemma":[0.00001026837,0.0002759898,0.0004639222,0.00000340443,0.00001108056,0.00003865891,0.00002048102,0.002941498,0.9949754,0.00002561527,0.001221216,0.00001243565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157097,0.001916286,0.07740194,0.0003328435,0.0001476869,0.0003695383,0.0005326431,0.0006902412,0.002899137],"genre_scores_gemma":[0.9059631,0.002619962,0.08471906,0.0001969185,0.00003234194,0.0003106171,0.0009878092,0.0001373637,0.005032943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001420602,"threshold_uncertainty_score":0.004752338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236393064161099,"score_gpt":0.3554363025854995,"score_spread":0.2317969961693896,"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."}}