{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002816442,0.00008847765,0.00009703686,0.00006814162,0.001638894,0.0005214183,0.004534291,0.000162519,0.000004610336],"category_scores_gemma":[0.00008742749,0.00007258208,0.00004411588,0.00006446704,0.0000949985,0.0006116138,0.001057068,0.0004255768,0.00001606502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002890219,"about_ca_system_score_gemma":0.00003510523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003035762,"about_ca_topic_score_gemma":0.00003300668,"domain_scores_codex":[0.9992973,0.00009029249,0.0001528861,0.0001783026,0.0001312538,0.0001500234],"domain_scores_gemma":[0.9954877,0.00005586606,0.0001190682,0.004115335,0.0001806065,0.00004136794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009593035,0.0004307354,0.003977038,0.00003157339,0.00009570328,0.000006937159,0.00261312,0.009279128,0.03076111,0.9171509,0.01360193,0.02204223],"study_design_scores_gemma":[0.0002122436,0.00001497444,0.002264184,0.0000324675,0.000009962621,0.00001783918,0.000008543356,0.9296013,0.03024661,0.004420944,0.03290175,0.0002692608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006636929,0.0006044559,0.9630558,0.0100827,0.0003644241,0.000206918,0.000003608604,0.0006187772,0.01842641],"genre_scores_gemma":[0.7107045,0.00007567085,0.2888393,0.0002258842,0.00002513841,0.000006333086,0.00001375563,0.000005098078,0.000104374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9203221,"threshold_uncertainty_score":0.9996608,"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."}}