{"id":"W4310996485","doi":"10.1002/cjce.24786","title":"Meta‐analysis and review of cannabinoids extraction and purification techniques","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Maisonneuve; Toronto Zoo; Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Extraction (chemistry); Solvent; Maceration (sewage); Supercritical fluid extraction; Chromatography; Organic chemistry; Waste management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.009365406,0.001914512,0.009135357,0.004495353,0.0004146575,0.002105541,0.001738238,0.00110351,0.007689532],"category_scores_gemma":[0.02069831,0.0008365733,0.02079932,0.007020656,0.0004877337,0.001150744,0.0009670141,0.001391719,0.000595401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152423,"about_ca_system_score_gemma":0.003598253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005060154,"about_ca_topic_score_gemma":0.008769384,"domain_scores_codex":[0.9937533,0.002747456,0.001738006,0.0007587945,0.0008110672,0.0001915447],"domain_scores_gemma":[0.9849139,0.01116702,0.001876077,0.0005329442,0.001360408,0.0001496427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002502618,0.00004814813,0.004844455,0.5208439,0.3862369,0.0001610924,0.00006556926,0.0007354457,0.0005041458,0.0005398432,0.004565949,0.07895184],"study_design_scores_gemma":[0.0007901152,0.000411929,0.01245261,0.07171109,0.8802142,0.0002926303,0.00007492561,0.0003600919,0.0005304752,0.001096012,0.03200398,0.00006188168],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001202187,0.9959691,0.000646962,0.0003168027,0.0001785045,0.0001017984,0.001195735,0.00001802231,0.0003710134],"genre_scores_gemma":[0.04061675,0.9543647,0.001642169,0.0007391357,0.0002912318,0.0003390943,0.001662753,0.00003783088,0.0003063406],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009365406,"threshold_uncertainty_score":0.04952961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229904965887665,"score_gpt":0.2761382353267059,"score_spread":0.2538391856678293,"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."}}