{"id":"W1854655287","doi":"10.1023/a:1019954227093","title":"Study of thermally treated dickite by infrared and micro-Raman spectroscopy using curve-fitting technique","year":2002,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Cristobalite; Mullite; Corundum; Amorphous solid; Materials science; Raman spectroscopy; Mineralogy; Spinel; Analytical Chemistry (journal); Infrared spectroscopy; Ceramic; Chemistry; Crystallography; Optics; Quartz; Composite material; Metallurgy; Chromatography","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":[0.0004083929,0.0001337651,0.0004403408,0.0002896543,0.00007149672,0.000050384,0.00008499138,0.00008432531,0.00004518874],"category_scores_gemma":[0.00002576643,0.0001020002,0.00009466466,0.0004693289,0.00003128963,0.0001274348,0.00002107558,0.0001624214,1.834274e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001831676,"about_ca_system_score_gemma":0.000002877075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000973756,"about_ca_topic_score_gemma":0.000001703542,"domain_scores_codex":[0.9989673,0.0000962733,0.000571191,0.0001050788,0.0001433538,0.0001168358],"domain_scores_gemma":[0.9994323,0.00002822753,0.0002858339,0.0001088423,0.00008226025,0.00006256998],"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":[0.00004538205,0.0001519729,0.02889295,0.00002466194,0.0009639285,0.000004928172,0.0004237019,0.006285699,0.9606371,9.630704e-7,0.00006433269,0.002504358],"study_design_scores_gemma":[0.001949111,0.001029221,0.01738054,0.0001694228,0.003044117,0.00006063106,0.002044817,0.02127055,0.9522629,0.00003485084,0.0002917048,0.0004620836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972287,0.001620115,0.0007899051,0.000008644509,0.0001071745,0.00008195508,0.000004837784,0.00001549911,0.0001430979],"genre_scores_gemma":[0.9987323,0.0004574227,0.0005761157,0.000004639256,0.0001500551,7.936541e-7,0.000001666839,0.00001319394,0.0000638441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498486,"threshold_uncertainty_score":0.4159449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316142644352853,"score_gpt":0.2522190718274033,"score_spread":0.2290576453838747,"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."}}