{"id":"W3168968773","doi":"","title":"Antimicrobial Studies of Cannabidiol as Biomaterials against superbug MRSA","year":2021,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Antimicrobial; Minimum inhibitory concentration; Staphylococcus aureus; Cannabidiol; Antibiotics; Minimum bactericidal concentration; Methicillin-resistant Staphylococcus aureus; Microbiology; Antibiotic resistance; Broth microdilution; Chemistry; Bacteria; Cannabis; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001450693,0.0002691379,0.000199117,0.0005260489,0.0002148783,0.0002107898,0.0001525408,0.0001808682,0.001189356],"category_scores_gemma":[0.0001907351,0.0000918497,0.0002507104,0.0002115922,0.000151866,0.0002200964,0.0001862687,0.0002894753,0.0001950801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711253,"about_ca_system_score_gemma":0.0002208553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077481,"about_ca_topic_score_gemma":0.002174272,"domain_scores_codex":[0.9999045,0.00001636021,0.000007026981,0.00001339352,0.00004287365,0.00001577158],"domain_scores_gemma":[0.999904,0.00002086981,0.00001977376,0.000006456033,0.00002756749,0.00002131189],"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":[0.000187023,0.0001158479,0.0002029524,0.0003255964,0.00001129148,0.0001013336,0.00004589848,0.0001091408,0.9912078,0.0001221342,0.00007412441,0.007496788],"study_design_scores_gemma":[0.0000186981,0.00183893,0.004253119,0.00006129521,0.00006397072,0.0002404462,0.0001190656,0.0006082816,0.9867264,0.00007225235,0.00598141,0.00001606699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800402,0.01470746,0.001166695,0.0001279506,0.0000731688,0.0000746073,0.0001931508,0.00002529859,0.003591426],"genre_scores_gemma":[0.985886,0.007488478,0.003193614,0.00007480379,0.00002774514,0.00004084332,0.0001044759,0.00001149479,0.003172583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001189356,"threshold_uncertainty_score":0.003978789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365217047169236,"score_gpt":0.342806667480163,"score_spread":0.3091544970084706,"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."}}