{"id":"W2612827304","doi":"10.1007/s10404-017-1937-0","title":"Two-dimensional model of imbibition into paper-based networks using Richards’ equation","year":2017,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Imbibition; Richards equation; Mechanics; Materials science; Physics; Thermodynamics; Geology; Geotechnical engineering; Botany; Germination; Water content","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":[0.0002393821,0.0001820272,0.000230987,0.00009559095,0.0003613454,0.00007844938,0.0001096243,0.0001747972,0.00001487471],"category_scores_gemma":[0.00002975273,0.0001812019,0.00008895619,0.00007666403,0.0001352661,0.0001884612,0.00003650783,0.0001456726,0.000002207674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005323619,"about_ca_system_score_gemma":0.00003108722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000874562,"about_ca_topic_score_gemma":0.000003527294,"domain_scores_codex":[0.9990611,0.00001810945,0.0003163105,0.0002047962,0.000180533,0.0002191479],"domain_scores_gemma":[0.9993711,0.00003053497,0.0000902871,0.0002989802,0.000112608,0.00009645131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000169524,0.00002224214,0.0001190652,0.00004783643,0.00002163126,0.000001376984,0.00001848193,0.05771238,0.938016,0.0005604503,0.0002444742,0.003219113],"study_design_scores_gemma":[0.000364281,0.00002623309,0.00008164945,0.00005154924,0.00003661186,0.000001800882,0.000003278575,0.6477392,0.3506828,0.0007788435,0.00009707666,0.0001366924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348682,0.003857681,0.1605678,0.00008514204,0.0002723445,0.0001139473,0.00002098403,0.00006601236,0.0001478726],"genre_scores_gemma":[0.9962654,0.0008957149,0.002571672,0.00009057315,0.0001080596,0.000002700667,0.00001832537,0.00003307333,0.00001453495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5900269,"threshold_uncertainty_score":0.7389199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621858964491851,"score_gpt":0.2409817092248015,"score_spread":0.214763119579883,"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."}}