{"id":"W2154841674","doi":"10.1002/pen.20737","title":"Curing kinetics and mechanical properties of epoxy nanocomposites based on different organoclays","year":2007,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Concordia University","funders":"","keywords":"Organoclay; Epoxy; Materials science; Nanocomposite; Curing (chemistry); Kinetics; Differential scanning calorimetry; Montmorillonite; Composite material; Intercalation (chemistry); Exfoliation joint; Scanning electron microscope; Chemical engineering; Chemistry; Graphene; Organic chemistry; Nanotechnology; Thermodynamics","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":[0.0003675341,0.0001663234,0.0001964534,0.0001783532,0.0001365558,0.00009302305,0.000217396,0.0000391264,0.00001019353],"category_scores_gemma":[0.00004051236,0.0001170255,0.00002256622,0.0002037229,0.0003064846,0.0001223486,0.0001242461,0.00007538211,0.000001746531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001871125,"about_ca_system_score_gemma":0.00002053937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003691549,"about_ca_topic_score_gemma":0.000001443595,"domain_scores_codex":[0.9987532,0.00001094133,0.0002342285,0.000300827,0.0003223852,0.000378447],"domain_scores_gemma":[0.9994984,0.00006850933,0.00004943018,0.0001856859,0.00003397019,0.0001639908],"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":[0.00002340999,0.00003630838,0.0003655558,0.00005700473,0.000001586564,0.000001588272,0.0001573778,0.0001537264,0.9975955,0.0005389447,4.97167e-7,0.001068539],"study_design_scores_gemma":[0.0001698307,0.0001771486,0.002082753,0.0001503382,0.000008848076,0.00001195685,0.00001799665,0.01613411,0.9810604,0.000005469326,0.00001776494,0.0001633483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954089,0.002631675,0.001433727,0.000105552,0.0001833397,0.00008441497,0.000002940016,0.00006061807,0.00008881538],"genre_scores_gemma":[0.9990065,0.00001831973,0.0008480989,0.00005096376,0.00003237011,0.000003530607,2.200592e-7,0.00001243464,0.00002753384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01653502,"threshold_uncertainty_score":0.477216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071362649142221,"score_gpt":0.1995680382858847,"score_spread":0.1888544117944625,"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."}}