{"id":"W1901997290","doi":"10.1002/jssc.201200789","title":"Applications of planar microfluidic devices and gas chromatography for complex problem solving","year":2012,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Microfluidics; Gas chromatography; Chromatography; Chemistry; Planar; Extraction (chemistry); Analytical Chemistry (journal); Materials science; Nanotechnology; Computer science","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":[0.0004880085,0.0006124259,0.0003797153,0.0007152365,0.0003470337,0.0009509039,0.0005408438,0.0005941067,0.001260283],"category_scores_gemma":[0.001080566,0.0003261272,0.0004800862,0.0005870619,0.001410407,0.0007310981,0.001167507,0.0009552349,0.000371762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294028,"about_ca_system_score_gemma":0.0006327496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004457782,"about_ca_topic_score_gemma":0.0004571057,"domain_scores_codex":[0.9995116,0.0001281353,0.00002195024,0.00009386164,0.0001916855,0.00005282156],"domain_scores_gemma":[0.9996493,0.0002190647,0.00003435599,0.00003234447,0.00004240166,0.00002260271],"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":[0.000222591,0.00008868643,0.001158591,0.001610349,0.000199638,0.0006690334,0.0002165831,0.04143038,0.398671,0.1921909,0.005305594,0.3582367],"study_design_scores_gemma":[0.0001510944,0.0008873169,0.001196008,0.0003150697,0.0002037397,0.002511012,0.0002140251,0.2185052,0.4052752,0.1357606,0.2347404,0.0002403835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01807861,0.04678475,0.9222487,0.00185105,0.0006002562,0.0001386742,0.00009860803,0.001031831,0.00916756],"genre_scores_gemma":[0.2859673,0.05487345,0.6529628,0.0009483302,0.0004943748,0.0003607521,0.0001990536,0.00006500816,0.0041289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001260283,"threshold_uncertainty_score":0.004566729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439667519104602,"score_gpt":0.3138154167461903,"score_spread":0.2894187415551444,"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."}}