{"id":"W2971987917","doi":"10.1039/c9lc00671k","title":"An automated microfluidic system for the investigation of asphaltene deposition and dissolution in porous media","year":2019,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nalco (Canada)","funders":"City University of New York; Ecolab; National Science Foundation","keywords":"Dissolution; Microfluidics; Asphaltene; Deposition (geology); Porosity; Porous medium; Nanotechnology; Chemical engineering; Materials science; Chemistry; Engineering; Geology; Composite material","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":[0.0001614422,0.00006815755,0.0001208653,0.00004365779,0.00004419399,0.00002003879,0.00006592827,0.00006452981,0.000003947936],"category_scores_gemma":[0.00002253349,0.00005030151,0.00002174639,0.0001079758,0.00002456399,0.00005907371,0.000005824569,0.00005415089,0.000001799261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004200278,"about_ca_system_score_gemma":0.00001977016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168127,"about_ca_topic_score_gemma":0.00002148329,"domain_scores_codex":[0.9994881,0.00002297879,0.0001631489,0.0001407092,0.00009267213,0.00009243951],"domain_scores_gemma":[0.999615,0.00008204049,0.000105611,0.0001388159,0.00002944486,0.00002905263],"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":[0.000045318,0.00002021683,0.01064028,0.0003491779,0.00001518576,4.973696e-7,0.000290272,0.00004628937,0.985656,0.0001177959,0.00001123549,0.00280769],"study_design_scores_gemma":[0.001162634,0.00007588978,0.03140568,0.0006482155,0.00009651171,0.000009318102,0.0007071369,0.1267055,0.8389571,0.00007771729,0.00001670394,0.0001376125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987006,0.0007318161,0.00006769059,0.0001036707,0.00002712075,0.00002081131,0.00001801427,0.00009165092,0.000238649],"genre_scores_gemma":[0.9996787,0.00002255337,0.00007180962,0.00002377392,0.00003092425,0.00001496458,0.00009617367,0.000008500544,0.00005259704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466989,"threshold_uncertainty_score":0.2051236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009207403391900133,"score_gpt":0.2375901844584853,"score_spread":0.2283827810665852,"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."}}