{"id":"W2921731510","doi":"10.1007/s12127-019-00244-0","title":"Analyzing fentanyl and fentanyl analogues by ion mobility spectrometry","year":2019,"lang":"en","type":"article","venue":"International Journal for Ion Mobility Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Fentanyl; Ion-mobility spectrometry; Chemistry; Pharmacology; Medicine; Mass spectrometry; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000974676,0.0004837075,0.0006146107,0.0007242697,0.0003228903,0.0004818269,0.001035335,0.0002907542,0.0085519],"category_scores_gemma":[0.0002689828,0.0004767353,0.000525094,0.0006996398,0.0001640276,0.0005529399,0.0002547492,0.000962375,0.00004548037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349961,"about_ca_system_score_gemma":0.00008425504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007833025,"about_ca_topic_score_gemma":0.00001732282,"domain_scores_codex":[0.9962211,0.00005655489,0.001075571,0.001017343,0.0009455286,0.0006839457],"domain_scores_gemma":[0.9974502,0.000395899,0.0006222781,0.0007052321,0.0004613333,0.0003650431],"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":[0.0003676158,0.001333197,0.108408,0.000164238,0.0005770863,0.00001384744,0.00006223664,0.00001037709,0.8698909,0.00894194,0.005508986,0.00472161],"study_design_scores_gemma":[0.005587737,0.001161797,0.04905088,0.0003577158,0.0003161026,0.001489303,0.001507643,0.002411742,0.7466097,0.1061446,0.08307884,0.002283994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822439,0.0009771372,0.007131851,0.001701452,0.000844999,0.0005019014,0.0005848287,0.0002400397,0.005773913],"genre_scores_gemma":[0.9897348,0.0008263804,0.005868678,0.0001345124,0.0008808012,0.00008161347,0.0003183352,0.00006277149,0.002092157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232812,"threshold_uncertainty_score":0.9997684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112898528615471,"score_gpt":0.294584849802929,"score_spread":0.2834558645167743,"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."}}