{"id":"W4410865879","doi":"10.18280/acsm.490205","title":"Integrated Thermogravimetric and Spectroscopic Evaluation of Azo Dye and Its Polymers: Focused Analytical Characterization of the Dye and Broad Assessment of Antibacterial Activity","year":2025,"lang":"en","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thermogravimetric analysis; Characterization (materials science); Materials science; Polymer; Nanotechnology; Chemical engineering; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007358066,0.0001001414,0.0001937455,0.0002884116,0.00007811988,0.00004155614,0.000127521,0.0000451025,0.000009368793],"category_scores_gemma":[0.0001261132,0.00007765702,0.00002542204,0.00080375,0.0004976103,0.0001876876,0.00005113406,0.0000776758,6.574786e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005345319,"about_ca_system_score_gemma":0.000207823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000316668,"about_ca_topic_score_gemma":0.000006696356,"domain_scores_codex":[0.9991667,0.00007180167,0.0001818542,0.0001652643,0.0002601858,0.0001541635],"domain_scores_gemma":[0.9995434,0.00004924734,0.00009260976,0.0001414941,0.0001320945,0.00004115561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001440467,0.00002704657,0.0114271,0.0001746927,0.00003088223,8.560139e-8,0.0003083268,0.00009197239,0.9618936,0.0005642218,0.000001081842,0.02546657],"study_design_scores_gemma":[0.0002638378,0.00003982812,0.6173508,0.0001442242,0.00006280882,0.000001031457,0.00002955013,0.1990321,0.182905,0.0001185279,0.000002843747,0.00004940554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974235,0.0001659872,0.00168081,0.00003420046,0.0001062902,0.0001816131,0.00001786135,0.00001734638,0.0003723999],"genre_scores_gemma":[0.9994356,0.0002044684,0.0003223991,0.000004836504,0.000007710775,0.00000278318,0.000002758411,0.000005577079,0.00001388194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7789886,"threshold_uncertainty_score":0.3166761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489065397603606,"score_gpt":0.3088978831685208,"score_spread":0.2740072291924847,"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."}}