{"id":"W4408534857","doi":"10.1002/advs.202416176","title":"High‐Performance Polymer‐derived Ceramics in LCD 3D Printing","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Materials science; Ceramic; Curing (chemistry); Composite material; Pyrolysis; Polymer; 3D printing; Porosity; Thermal stability; Fabrication; Compressive strength; Chemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741905,0.0002679348,0.00018974,0.0002395646,0.0001175218,0.0004388242,0.0002520766,0.0002873449,0.0009826799],"category_scores_gemma":[0.0002274219,0.0002281797,0.0003227825,0.0001989074,0.0002615821,0.0002246337,0.0003149183,0.0004038996,0.0007138749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339663,"about_ca_system_score_gemma":0.0001613297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003607634,"about_ca_topic_score_gemma":0.0006944726,"domain_scores_codex":[0.999788,0.00001502947,0.00001144897,0.00004080029,0.0001175388,0.0000272897],"domain_scores_gemma":[0.9998956,0.00003074939,0.00003159917,0.00001710991,0.00001527684,0.000009764082],"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":[0.00001266458,0.000007148794,0.00006976925,0.00005685192,0.000003701947,0.0000776661,0.00001861457,0.0009403207,0.9945117,0.0002110483,0.0001107307,0.003979731],"study_design_scores_gemma":[0.00000361696,0.00003663191,0.0004307941,0.000003900831,0.000004891414,0.0001287492,0.000006247068,0.003433893,0.9926156,0.00004862264,0.003277815,0.000009354128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792552,0.003340466,0.09898499,0.0001916455,0.0002163232,0.0001169171,0.001026988,0.002564159,0.01430337],"genre_scores_gemma":[0.9574374,0.000865506,0.0377403,0.0000661555,0.00002425768,0.00006639694,0.0002516247,0.0001256568,0.003422741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009826799,"threshold_uncertainty_score":0.003287375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0056441096024245,"score_gpt":0.2203135552895816,"score_spread":0.2146694456871571,"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."}}