{"id":"W2036771196","doi":"10.1007/s00396-007-1789-3","title":"Dynamic scaling for gelation of a thermosensitive chitosan-β-glycerophosphate hydrogel","year":2007,"lang":"en","type":"article","venue":"Colloid & Polymer Science","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"","keywords":"Rheometry; Scaling; Power law; Thermodynamics; Chitosan; Gel point; Polymer; Isothermal process; Scaling law; Viscosity; Materials science; Dynamic mechanical analysis; Shear modulus; Chemistry; Polymer chemistry; Organic chemistry; Composite material; Physics; Mathematics","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":[0.0006044427,0.0001712795,0.0002421778,0.0001059938,0.0003372219,0.00005241483,0.0003850097,0.0000867487,0.00004514572],"category_scores_gemma":[0.0000831547,0.0001553332,0.0001118673,0.0007405189,0.0003939113,0.0002152854,0.00006931632,0.00008537868,0.000005108816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009577194,"about_ca_system_score_gemma":0.0002271313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611907,"about_ca_topic_score_gemma":0.00002381899,"domain_scores_codex":[0.998098,0.000005549227,0.0004248361,0.0004380314,0.0005128697,0.0005206889],"domain_scores_gemma":[0.9989571,0.0001716048,0.000264836,0.0003342752,0.0001231209,0.0001490541],"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":[0.0001064333,0.00003727849,0.001241732,0.00002672611,0.00001346128,0.00000213567,0.000521947,0.00001316354,0.9870304,0.0004088431,0.00000159006,0.01059627],"study_design_scores_gemma":[0.0004726563,0.0000317986,0.001792204,0.00007481284,0.00001685237,0.00001096011,0.0007013393,0.00813235,0.9884406,0.0000796442,0.00005409081,0.0001926585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844393,0.001176932,0.001426247,0.00002308529,0.0003526155,0.0001837482,0.00003232761,0.00005444406,0.01231129],"genre_scores_gemma":[0.9987106,0.000007060812,0.0002672848,0.00003701028,0.00005145029,0.0000131669,0.000003517497,0.00002074772,0.0008891603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427129,"threshold_uncertainty_score":0.6334304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007514450455182923,"score_gpt":0.2569505303423934,"score_spread":0.2494360798872105,"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."}}