{"id":"W1982288756","doi":"10.1016/j.jcis.2007.09.062","title":"Modified fractal model and rheological properties of colloidal networks","year":2007,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Fractal; Volume fraction; Rheology; Scaling; Colloid; Volume (thermodynamics); Fraction (chemistry); Materials science; Colloidal crystal; Fractal dimension; Thermodynamics; Mathematics; Chemistry; Physics; Chromatography; Composite material; Mathematical analysis; 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":[0.0004179673,0.0004915372,0.0005555128,0.001501496,0.000405394,0.0008920816,0.00117655,0.001521425,0.001256757],"category_scores_gemma":[0.002267002,0.0002827605,0.000752047,0.0004568972,0.0009587905,0.001860828,0.0003889248,0.0005836063,0.0002007364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008054586,"about_ca_system_score_gemma":0.0002972086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002000721,"about_ca_topic_score_gemma":0.001023128,"domain_scores_codex":[0.9998215,0.00006021123,0.000007135183,0.00003616799,0.00004625396,0.00002871584],"domain_scores_gemma":[0.9987891,0.0005091966,0.0002558824,0.0001147788,0.0002033814,0.0001276861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001321944,0.0001472454,0.002354991,0.0001260059,0.00009400181,0.0006232532,0.0002024571,0.646924,0.03288258,0.3092728,0.001690087,0.005550394],"study_design_scores_gemma":[0.000007229261,0.00001140979,0.0004052999,0.000003173029,0.000006616783,0.00004690018,0.00000677944,0.9823714,0.000328671,0.01662699,0.0001755989,0.000009959108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7891669,0.00166999,0.1942664,0.001055057,0.000193673,0.00007577582,0.0002623468,0.0002025844,0.01310736],"genre_scores_gemma":[0.9888377,0.000367037,0.006539474,0.00007296065,0.00007721783,0.00004504729,0.0001075437,0.00003464162,0.003918285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000721,"threshold_uncertainty_score":0.005843997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857741106699273,"score_gpt":0.2272657024967143,"score_spread":0.2086882914297216,"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."}}