{"id":"W2940252147","doi":"10.1080/87559129.2019.1600539","title":"Hemp ( <i>Cannabis Sativa</i> L.) Extract: Anti-Microbial Properties, Methods of Extraction, and Potential Oral Delivery","year":2019,"lang":"en","type":"article","venue":"Food Reviews International","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"Cannabis sativa; Biotechnology; Cannabis; Traditional medicine; Nutraceutical; Health benefits; Biochemical engineering; Biology; Medicine; Food science; Botany; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008748596,0.0001931518,0.0005472607,0.0001859724,0.000047324,0.00004195252,0.0001835082,0.0001081783,0.001435314],"category_scores_gemma":[0.0001989741,0.0001454479,0.0002364296,0.0001648799,0.0001278671,0.000215705,0.0001303467,0.0003151835,0.00005607556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009333112,"about_ca_system_score_gemma":0.0002053415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000785166,"about_ca_topic_score_gemma":0.0000100229,"domain_scores_codex":[0.9981697,0.0001699786,0.0006241827,0.0003673163,0.0004351025,0.0002337863],"domain_scores_gemma":[0.9989052,0.000008913893,0.0002399523,0.0002819581,0.000434182,0.000129772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003886809,0.0003683135,0.00379385,0.000757819,0.0002501628,0.00001209975,0.0002013092,0.000006770632,0.7150365,0.0002407835,0.09383842,0.1851054],"study_design_scores_gemma":[0.001395539,0.0005220931,0.014537,0.0004358632,0.00008078143,0.0004183581,0.00007162167,0.0002491866,0.05181057,0.00003874432,0.9302422,0.0001980757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607198,0.01910655,0.001070883,0.0113414,0.001693266,0.001798158,0.00007164351,0.00004013647,0.004158147],"genre_scores_gemma":[0.9514124,0.006326252,0.009971217,0.0009357192,0.0005594887,0.00009551844,0.00008525457,0.00005203162,0.03056208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8364037,"threshold_uncertainty_score":0.9994775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408416766306124,"score_gpt":0.3475932030004671,"score_spread":0.3135090353374058,"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."}}