{"id":"W3094049194","doi":"10.1039/d0an01850c","title":"Upconverting nanoparticle clustering based rapid quantitative detection of tetrahydrocannabinol (THC) on lateral-flow immunoassay","year":2020,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Booth University College","funders":"Mitacs","keywords":"Drug detection; Cannabis; Immunoassay; Δ9-tetrahydrocannabinol; Tetrahydrocannabinol; Pharmacology; Chromatography; Medicine; Cannabinoid; Chemistry; Psychiatry; Immunology; Internal medicine","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":[0.0005167301,0.001025389,0.0006218001,0.0007440091,0.000339706,0.0004531268,0.0008875212,0.001019143,0.001066642],"category_scores_gemma":[0.0007150754,0.000383856,0.0003870532,0.0002250013,0.0005141662,0.0004071722,0.0005409162,0.0007864543,0.001424493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009631439,"about_ca_system_score_gemma":0.0004209982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051494,"about_ca_topic_score_gemma":0.002742152,"domain_scores_codex":[0.9993568,0.00007842469,0.00002383229,0.0002272919,0.0002240378,0.00008951266],"domain_scores_gemma":[0.9996516,0.00008501271,0.00005857333,0.00003883656,0.0001379361,0.00002805326],"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":[0.00003679554,0.00003685623,0.0001049241,0.00004390455,0.000006297479,0.00002934198,0.00002164072,0.0001060711,0.9931464,0.0001594382,0.000231668,0.006076646],"study_design_scores_gemma":[0.00001054356,0.0001583364,0.0004810417,0.000007103879,0.00001483041,0.00008807079,0.00001590522,0.00634463,0.9911969,0.00007390598,0.001592782,0.00001595892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5328165,0.003839193,0.4382234,0.001052589,0.0005405599,0.001242154,0.0008135819,0.005176158,0.01629584],"genre_scores_gemma":[0.7722568,0.001296037,0.2109182,0.0007020733,0.0001063515,0.000956658,0.0005997116,0.0001305758,0.01303358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001066642,"threshold_uncertainty_score":0.006988049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976090372897608,"score_gpt":0.2145191661564392,"score_spread":0.1947582624274631,"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."}}