{"id":"W2010392381","doi":"10.1007/s00723-012-0325-x","title":"Rapid Method to Screen Unopened Bottles to Detect Concealed Drugs","year":2012,"lang":"en","type":"article","venue":"Applied Magnetic Resonance","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bottle; Materials science; Relaxation (psychology); Nuclear magnetic resonance; Magnetic field; Magnet; Magnetic resonance imaging; Plastic bottle; Analytical Chemistry (journal); Chemistry; Chromatography; Physics; Composite material; Engineering; Electrical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002868932,0.0002261221,0.0002722742,0.00005370758,0.0001743821,0.00005043197,0.0003678339,0.00003983322,0.001325817],"category_scores_gemma":[0.000004784335,0.0002216801,0.00006434759,0.00042476,0.00003743395,0.00006463185,0.0001338282,0.0001361412,0.001267936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002458041,"about_ca_system_score_gemma":0.0000341242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699569,"about_ca_topic_score_gemma":0.000003724383,"domain_scores_codex":[0.9985017,0.00003937361,0.0002652121,0.0003914965,0.0001940404,0.000608139],"domain_scores_gemma":[0.9988748,0.0001518862,0.00006122052,0.0005292777,0.00003223816,0.0003505388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005596802,0.00005654762,0.000395949,0.000003662712,0.000009544297,1.221635e-7,0.0004607757,0.00001128106,0.04999758,0.1474516,0.008666665,0.7928903],"study_design_scores_gemma":[0.0005075904,0.00008883311,0.009769554,0.00001343528,0.00002710591,4.063081e-7,0.0001983312,0.00001928988,0.1157205,0.003938226,0.8693569,0.0003598079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1065378,0.003950442,0.4297918,0.002312624,0.0001981559,0.003827894,0.0002157945,0.0002373779,0.4529282],"genre_scores_gemma":[0.7827591,0.000009802675,0.2121452,0.001040514,0.0005249759,0.001008603,0.00001524954,0.00003763221,0.002458898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8606902,"threshold_uncertainty_score":0.9995871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070953805741512,"score_gpt":0.3138249558924031,"score_spread":0.3031154178349879,"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."}}