{"id":"W4400121025","doi":"10.1016/b978-0-443-18971-5.00007-5","title":"Metal-organic frameworks in solid-phase microextraction","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Solid-phase microextraction; Metal-organic framework; Materials science; Phase (matter); Chemistry; Chromatography; Gas chromatography–mass spectrometry; Organic chemistry; Adsorption; Mass spectrometry","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":[0.0001421886,0.0006586013,0.0003796523,0.0004916005,0.0002520348,0.0008475403,0.0007288161,0.0006574892,0.00911191],"category_scores_gemma":[0.0001136057,0.0003319609,0.000221109,0.0007812287,0.0002577067,0.0008652664,0.0004853899,0.0008055231,0.005260056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890006,"about_ca_system_score_gemma":0.0002376928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138413,"about_ca_topic_score_gemma":0.00309465,"domain_scores_codex":[0.9998796,0.000007822987,0.000003515104,0.00002759801,0.00006612961,0.00001534939],"domain_scores_gemma":[0.9999642,0.00001860602,0.000003690604,0.000003007702,0.000006980884,0.000003468552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001201198,0.000175943,0.00008879353,0.001776724,0.00002790697,0.0003187526,0.0000860999,0.003212263,0.2939481,0.03535248,0.02925093,0.6356419],"study_design_scores_gemma":[0.00001295118,0.0001434009,0.0004690657,0.000261113,0.00002720543,0.0008195198,0.00005410105,0.004674146,0.2592014,0.01369104,0.72061,0.00003614188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02975988,0.5515365,0.1161406,0.001781664,0.002517297,0.0001839103,0.0008721075,0.00198871,0.2952193],"genre_scores_gemma":[0.1197592,0.2059346,0.062254,0.0007120342,0.0006315017,0.0001092983,0.0007978037,0.0003104816,0.6094911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00911191,"threshold_uncertainty_score":0.03048235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080798071314736,"score_gpt":0.3237443971818523,"score_spread":0.3029364164687049,"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."}}