{"id":"W1995565075","doi":"10.1002/pen.21065","title":"A new linear viscoelastic model for emulsions and suspensions","year":2008,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscoelasticity; Materials science; Moduli; Limit (mathematics); Polymer science; Suspension (topology); Composite material; Crowding; Mathematics; Physics; Mathematical analysis; Pure mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001104854,0.00009337568,0.00009873757,0.0000964829,0.0003810596,0.00005121289,0.0001151402,0.0000230017,0.00001808737],"category_scores_gemma":[0.0001038403,0.00007595967,0.00001431291,0.0001641379,0.0002013588,0.0002328241,0.00007229373,0.0000367608,0.000004060006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007359787,"about_ca_system_score_gemma":0.000119963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003583603,"about_ca_topic_score_gemma":0.000003506512,"domain_scores_codex":[0.9992557,0.000003532389,0.0001095228,0.0002340966,0.0001431022,0.0002540591],"domain_scores_gemma":[0.9995627,0.00004776055,0.0000179772,0.0001121155,0.00002941306,0.0002300222],"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":[0.000005990583,0.000005387508,0.00004443487,0.000008703293,9.483871e-7,7.821307e-7,0.001034224,0.007064173,0.989454,0.001934962,0.00008472436,0.0003617046],"study_design_scores_gemma":[0.0001685742,0.00002638951,0.0001915034,0.00001786814,0.000005597758,0.00003772314,0.00001812712,0.8508776,0.1483253,0.00004425247,0.00016211,0.0001249223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6629259,0.001730501,0.3346262,0.0002209791,0.0002290346,0.00009040866,0.000007595461,0.00009884871,0.00007057608],"genre_scores_gemma":[0.985817,0.00006340157,0.01215891,0.00007675432,0.00003738526,0.000006971188,5.693977e-7,0.000009043982,0.001829979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8438134,"threshold_uncertainty_score":0.3097546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856385809784059,"score_gpt":0.237604023482068,"score_spread":0.2090401653842275,"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."}}