{"id":"W3151869296","doi":"","title":"Analysis of stimulants and related compounds by automated on-line in-tube SPME/LC/MS","year":2000,"lang":"en","type":"article","venue":"","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chromatography; Line (geometry); Tube (container); Chemistry; Engineering; Mathematics; Waste management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006906511,0.002442701,0.001250239,0.001620544,0.00166669,0.0005824005,0.001067126,0.0008451741,0.0091585],"category_scores_gemma":[0.001074997,0.0006526685,0.0007984073,0.0008467025,0.0008853868,0.0009336879,0.0006630101,0.001473495,0.003447078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006325599,"about_ca_system_score_gemma":0.00266141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003720014,"about_ca_topic_score_gemma":0.009402258,"domain_scores_codex":[0.9992383,0.0001160393,0.0000518387,0.00021665,0.0002437865,0.0001334303],"domain_scores_gemma":[0.9990344,0.0002472487,0.00007943732,0.000106855,0.0003945662,0.0001375535],"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":[0.0003516401,0.000077035,0.0002737331,0.0001734161,0.00003185039,0.00007145913,0.00004069821,0.00005194287,0.9909706,0.0001381986,0.0004296598,0.007389565],"study_design_scores_gemma":[0.00004447748,0.0008095774,0.005121916,0.00002509111,0.0001346587,0.0003412854,0.00006538571,0.0009609194,0.9860736,0.0001997064,0.006197181,0.00002613901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.56598,0.007826942,0.3508896,0.001189543,0.001020042,0.005625923,0.02633825,0.009852558,0.03127707],"genre_scores_gemma":[0.5752903,0.01090226,0.3279966,0.00239821,0.0006253921,0.01109613,0.02592826,0.002562673,0.04320014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0091585,"threshold_uncertainty_score":0.03063822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790313588481311,"score_gpt":0.2734122263173103,"score_spread":0.2555090904324972,"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."}}