{"id":"W2604203831","doi":"10.1038/ncomms15181","title":"Membraneless water filtration using CO2","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Filtration (mathematics); Materials science; Pulp and paper industry; Chemical engineering; Chemistry; Chromatography; Mathematics; Statistics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798031,0.0005885002,0.0004057662,0.0003736905,0.0004088409,0.0005829106,0.0005387866,0.0008205837,0.001241548],"category_scores_gemma":[0.0001995652,0.0001876823,0.0003021602,0.000308381,0.0004079527,0.000786231,0.0006159472,0.0007030097,0.0006264568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005782659,"about_ca_system_score_gemma":0.0004063168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567733,"about_ca_topic_score_gemma":0.001419834,"domain_scores_codex":[0.9996519,0.00002080883,0.00001732794,0.00011626,0.0001491199,0.00004466679],"domain_scores_gemma":[0.9998339,0.0000254887,0.00004915976,0.0000277285,0.00003698549,0.00002675271],"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":[0.00002377252,0.00001517128,0.00004715609,0.00004779256,0.000004371746,0.00003339307,0.00000857121,0.00009756852,0.9967259,0.0001789271,0.0001830338,0.002634281],"study_design_scores_gemma":[0.000005326963,0.00002875316,0.0002607334,0.00000254409,0.000002883555,0.00005916849,0.000003801501,0.001165546,0.9962985,0.00003785787,0.002128992,0.00000588459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256242,0.003484941,0.1572645,0.0006101053,0.0004444766,0.0001798009,0.000558602,0.002294701,0.009538712],"genre_scores_gemma":[0.9400497,0.001291228,0.04959743,0.0002182875,0.0000445513,0.0001064123,0.0004317424,0.0001252565,0.008135347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001567733,"threshold_uncertainty_score":0.004195631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908482453233862,"score_gpt":0.3401306367795944,"score_spread":0.2910458122472558,"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."}}