{"id":"W3040282255","doi":"","title":"Impact of surface charge on CNC phase separation and rheology","year":2017,"lang":"en","type":"article","venue":"International Conference on Nanotechnology","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Rheology; Separation (statistics); Surface charge; Materials science; Phase (matter); Charge (physics); Surface (topology); Composite material; Chemical engineering; Computer science; Engineering; Chemistry; Physics; Mathematics; Geometry; Physical chemistry","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":[0.0001900848,0.0002379064,0.0001982751,0.0001856034,0.000272509,0.0005563261,0.0002551511,0.0003550224,0.006199535],"category_scores_gemma":[0.0009455011,0.0001131972,0.0001542979,0.0001862838,0.0002543586,0.0004816346,0.0001876528,0.0003520783,0.0004990391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003275943,"about_ca_system_score_gemma":0.0003048245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174879,"about_ca_topic_score_gemma":0.002879173,"domain_scores_codex":[0.9998475,0.00001215217,0.000005921987,0.0000273879,0.00005120756,0.00005570957],"domain_scores_gemma":[0.9995877,0.0001804979,0.00003016618,0.00002328271,0.0001319438,0.00004646266],"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":[0.001233807,0.0001295279,0.001785993,0.0001070515,0.00002125848,0.0001720272,0.00003925033,0.001180197,0.9865097,0.0002947528,0.0003279705,0.008198537],"study_design_scores_gemma":[0.00003577356,0.0004371429,0.008258486,0.00001045555,0.00003515682,0.00005876855,0.0001015779,0.005376088,0.9846501,0.0001031019,0.000917609,0.00001569624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972041,0.0003888267,0.000370451,0.00006679419,0.00007188976,0.000007150253,0.00007306659,0.00001674122,0.001800966],"genre_scores_gemma":[0.9989773,0.0001062048,0.0001130007,0.00003292091,0.000006163091,0.000002427069,0.00003964912,0.00000838477,0.0007139027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006199535,"threshold_uncertainty_score":0.0207395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315380850395076,"score_gpt":0.3828551861125404,"score_spread":0.3513171010730328,"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."}}