{"id":"W4405419334","doi":"10.1002/admt.202401354","title":"Polydiacetylene‐Crosslinked Oligosiloxanes for Dual‐Mode Temperature Sensing","year":2024,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermochromism; Materials science; Raman spectroscopy; Characterization (materials science); Differential scanning calorimetry; Nanotechnology; Solubility; Fabrication; Thin film; Polydiacetylenes; Capacitive sensing; Optoelectronics; Polymer; Computer science; Composite material; Chemistry; Organic chemistry; Optics; Polymerization","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001510357,0.0004284254,0.0005086233,0.0001278637,0.0002868962,0.0003435302,0.0003153029,0.0005013401,0.0001578449],"category_scores_gemma":[0.0001824527,0.0003768061,0.0001294858,0.0002167642,0.0002209524,0.0002716398,0.0001757527,0.0001698141,0.00005813436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009123581,"about_ca_system_score_gemma":0.00007797054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002089555,"about_ca_topic_score_gemma":0.000007694642,"domain_scores_codex":[0.9979548,0.0000108127,0.0005109504,0.0007419078,0.0001525402,0.0006289346],"domain_scores_gemma":[0.9988064,0.000157822,0.0001282173,0.0007784313,0.00008100225,0.00004813077],"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":[0.00005819993,0.00002271557,0.000001380708,0.0006626335,0.00004585787,0.000009845193,0.00004027432,0.00002994827,0.9729615,0.008772208,0.0005357648,0.01685961],"study_design_scores_gemma":[0.0003365494,0.00002613455,0.000003566485,0.000330645,0.00004946092,0.00003440621,0.0003113905,0.00002497227,0.9496837,0.01827975,0.03047535,0.0004441145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841163,0.002876098,0.0004563538,0.001980225,0.0009019612,0.0004278307,0.002214252,0.006700703,0.0003263157],"genre_scores_gemma":[0.9822953,0.0009229562,0.01477816,0.00005703807,0.0003148427,0.0004570559,0.000283065,0.0001158788,0.000775754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02993959,"threshold_uncertainty_score":0.9998684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008775876440926863,"score_gpt":0.2801459827982778,"score_spread":0.271370106357351,"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."}}