{"id":"W2953693469","doi":"10.1002/jssc.201900214","title":"Metal 3D‐printed catalytic jet and flame ionization detection for in situ trace carbon oxides analysis by gas chromatography","year":2019,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Flame ionization detector; Gas chromatography; Detection limit; Methanation; Analytical Chemistry (journal); Chemistry; Chromatography; Methane; Carbon monoxide; Materials science; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.00333343,0.0001458624,0.0003731383,0.0009099558,0.0001375004,0.0003756119,0.0004614747,0.00005658532,0.00002114714],"category_scores_gemma":[0.0005149538,0.0001226736,0.00007402618,0.002838344,0.0003732878,0.00190357,0.00006337767,0.00008052122,0.000006788663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613491,"about_ca_system_score_gemma":0.0002147756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000570786,"about_ca_topic_score_gemma":0.0001307589,"domain_scores_codex":[0.9977901,0.00004937951,0.0006964898,0.0004111941,0.0007675824,0.0002852544],"domain_scores_gemma":[0.9982751,0.0001348732,0.000720142,0.0002251549,0.0005327913,0.0001119496],"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":[0.00005016216,0.00003228446,0.001894907,0.00002539549,0.000009164894,8.652945e-7,0.0004313632,0.001571245,0.99572,0.00003102205,0.000004330527,0.0002293007],"study_design_scores_gemma":[0.0003885958,0.0001656746,0.006641057,0.00002690424,0.00009620973,0.00005380199,0.0001847509,0.02541971,0.9665545,0.0002905071,0.00003424433,0.0001440146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670793,0.0001492817,0.03184882,0.00008210192,0.0004760307,0.0002584773,0.000006909112,0.00001568552,0.00008336736],"genre_scores_gemma":[0.9978297,0.00002705754,0.002045267,0.0000239543,0.00003463769,0.000007918779,0.000002660121,0.000006568492,0.00002222676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03075038,"threshold_uncertainty_score":0.5002483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009001049034110494,"score_gpt":0.2827170832758824,"score_spread":0.2737160342417719,"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."}}