{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005330226,0.0001118156,0.0001485813,0.000133844,0.00006379837,0.00002286193,0.0002672106,0.0001603144,0.0001373753],"category_scores_gemma":[0.0001053982,0.0001043234,0.0000306163,0.00002291343,0.0001350757,0.0001046284,0.00003843338,0.0001718014,0.00001395579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000410418,"about_ca_system_score_gemma":0.00001521488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001534401,"about_ca_topic_score_gemma":0.000003784194,"domain_scores_codex":[0.9995105,0.000008689,0.000150455,0.0001484123,0.00007612176,0.0001058349],"domain_scores_gemma":[0.9995013,0.0000269986,0.0001086637,0.0002558899,0.00008505426,0.00002202123],"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":[0.0002323576,0.0001650838,0.002383946,0.00001211105,0.0001318379,0.000009623421,0.0001028431,0.0159317,0.1272708,0.7966565,0.0004501303,0.0566531],"study_design_scores_gemma":[0.002059783,0.00168323,0.001909456,0.0001051158,0.00001037102,0.00002252007,0.00001474717,0.7277114,0.2527052,0.01285083,0.0005759486,0.0003513915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328429,0.00002019238,0.05378402,0.0006177164,0.0002492206,0.0001031932,0.00005450136,0.0003501197,0.01197819],"genre_scores_gemma":[0.9981668,0.0003090348,0.001148285,0.00001524666,0.00001452794,0.000007855424,0.00001781271,0.00001147967,0.00030893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7838057,"threshold_uncertainty_score":0.4254187,"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."}}