{"id":"W2022722433","doi":"10.1007/s10973-006-7720-1","title":"Synthesis, thermal and structural characterization of nanocomposites for potential applications in construction","year":2006,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermogravimetry; Differential scanning calorimetry; Exfoliation joint; Materials science; Nanocomposite; Fourier transform infrared spectroscopy; Thermal stability; Scanning electron microscope; Thermal decomposition; Thermal analysis; Intercalation (chemistry); Nuclear chemistry; Chemical engineering; Analytical Chemistry (journal); Polymer chemistry; Chemistry; Organic chemistry; Composite material; Nanotechnology; Thermal","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":[0.0002466617,0.000215566,0.0001621429,0.0003768147,0.0003234575,0.0002199536,0.0001759934,0.0002157088,0.00127161],"category_scores_gemma":[0.0005186726,0.0002551419,0.0001755121,0.000195403,0.0001882081,0.0002623514,0.0001111457,0.0003423049,0.0001798782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278414,"about_ca_system_score_gemma":0.0002180237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006840331,"about_ca_topic_score_gemma":0.001969272,"domain_scores_codex":[0.9998554,0.00001626317,0.00001174704,0.00003725423,0.00005722541,0.00002202751],"domain_scores_gemma":[0.9997833,0.00005443176,0.00003505201,0.00002499131,0.00007485773,0.00002733609],"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":[0.00009960245,0.00002058569,0.000136628,0.00002519807,0.00000281987,0.00001617698,0.00001717959,0.0003073579,0.9974362,0.00009733293,0.00003543004,0.001805329],"study_design_scores_gemma":[0.000004001774,0.00006296135,0.001052571,0.000001545994,0.000005926051,0.00003374471,0.000006273512,0.001523371,0.9967204,0.00002309742,0.0005627201,0.000003401124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825394,0.001058598,0.01257251,0.0000671236,0.00002485056,0.00004993256,0.0002800056,0.0001042128,0.003303404],"genre_scores_gemma":[0.9910941,0.0001960316,0.006455371,0.00001155221,0.000004336378,0.00003045362,0.0001984835,0.00004124589,0.001968496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127161,"threshold_uncertainty_score":0.004253924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004335049598865375,"score_gpt":0.2070175586806619,"score_spread":0.2026825090817965,"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."}}