{"id":"W4399775710","doi":"10.1063/5.0206295","title":"Gas phase growth of metal-organic frameworks on microcantilevers for highly sensitive detection of volatile organic compounds","year":2024,"lang":"en","type":"article","venue":"APL Materials","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Mitacs; European Commission","keywords":"Microfabrication; Materials science; Detection limit; Cantilever; Chemical vapor deposition; Porosity; Metal-organic framework; Analytical Chemistry (journal); Silicon; Metal; Phase (matter); Deposition (geology); Porous silicon; Nanotechnology; Chemical engineering; Optoelectronics; Organic chemistry; Chromatography; Fabrication; Chemistry; Composite material; Metallurgy; Adsorption","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126085,0.0002311008,0.0005314724,0.0001747356,0.00003845256,0.00006474702,0.00007807943,0.0002116907,0.00008256087],"category_scores_gemma":[0.0000635716,0.0002200038,0.00009646883,0.0001932005,0.00005022854,0.00009132309,0.00001868295,0.00008669862,0.00002680721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005973944,"about_ca_system_score_gemma":0.00002093977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004345371,"about_ca_topic_score_gemma":0.000007243064,"domain_scores_codex":[0.9988503,0.00005286078,0.0005082833,0.0002252383,0.0001252655,0.000238066],"domain_scores_gemma":[0.9993709,0.0001948173,0.00009072648,0.0001915753,0.0001092644,0.0000427127],"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":[0.000139734,0.00003320163,8.089789e-7,0.000528266,0.0001717438,0.000008557075,0.0002759776,0.00002744195,0.9981916,0.0002284389,0.0002296591,0.0001645682],"study_design_scores_gemma":[0.0004888074,0.0002791604,0.00005219685,0.0002301824,0.0001297114,0.00002260411,0.00004347824,0.001061512,0.9968421,0.0005073979,0.0001506306,0.0001921441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934184,0.00005792939,0.002716231,0.0000310261,0.002835739,0.0003266429,0.0003295085,0.0002442354,0.00004029382],"genre_scores_gemma":[0.9989683,0.00003648104,0.0006135394,0.00001932939,0.0001856057,0.000005980678,0.00005155256,0.00009489512,0.00002430283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005549919,"threshold_uncertainty_score":0.8971495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00766736205323012,"score_gpt":0.2167224339891644,"score_spread":0.2090550719359343,"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."}}