{"id":"W4414160563","doi":"10.1002/adma.202508729","title":"Advancing Tomographic Volumetric Printing Via Oxygen Inhibition Control: Improved Accuracy and Large‐Volume Capability","year":2025,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; National Research Council Canada","funders":"National Research Council Canada","keywords":"Fabrication; Photoinitiator; 3D printing; Penetration depth; Oxygen; Penetration (warfare); Radical; Scalability","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":[0.0005913129,0.0002621643,0.0003977313,0.0003196263,0.0001634362,0.00008611806,0.0001363065,0.0001454065,0.00004097342],"category_scores_gemma":[0.001302491,0.0002710937,0.0000527782,0.0003500379,0.00007319219,0.0003238373,0.0001615085,0.0001786125,0.000008251399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009651062,"about_ca_system_score_gemma":0.00001223124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002730338,"about_ca_topic_score_gemma":0.00001412561,"domain_scores_codex":[0.9985298,0.00004951944,0.0004449587,0.0003805793,0.0001025838,0.0004925585],"domain_scores_gemma":[0.9991707,0.0002127373,0.0001110386,0.0003666083,0.00009390741,0.00004504173],"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":[0.00003373242,0.00002532947,0.0008741394,0.0004889565,0.00007690937,0.000003695107,0.00004593455,0.000502992,0.9185905,0.0002499888,0.00008615294,0.0790216],"study_design_scores_gemma":[0.001127707,0.00004058214,0.02860841,0.0001803164,0.00004091337,0.000004328733,0.00009643209,0.002496199,0.9544805,0.008690748,0.003847315,0.0003865828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108204,0.0003398819,0.08594587,0.0001009176,0.0005120329,0.0004397921,0.00005383884,0.001608842,0.0001784799],"genre_scores_gemma":[0.9938369,0.0001388761,0.005724935,0.00005440443,0.0000430242,0.0001134838,0.00001557636,0.00003298132,0.00003984229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08301653,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003231640122311391,"score_gpt":0.2123512123953722,"score_spread":0.2091195722730608,"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."}}