{"id":"W4408236954","doi":"10.1115/1.4068094","title":"A Numerical Study of Gold-Nanorod-Enhanced Noninvasive Laser Ablation for Central Lung Cancer Using an Optical-Thermal-Fluid Model","year":2025,"lang":"en","type":"article","venue":"ASME Journal of Heat and Mass Transfer","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ablation; Laser ablation; Nanorod; Lung cancer; Materials science; Laser; Thermal ablation; Thermal; Medicine; Optics; Nanotechnology; Physics; Oncology; Internal medicine; Thermodynamics","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":[0.0001529758,0.0001393131,0.0003353346,0.0001152297,0.00004653393,0.00003050189,0.0000866272,0.00006674291,0.0000174942],"category_scores_gemma":[0.00001417485,0.0001212383,0.00008295484,0.0001187348,0.00002276656,0.0004312418,0.000004103398,0.00009716375,1.021058e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006990519,"about_ca_system_score_gemma":0.00007236541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001431735,"about_ca_topic_score_gemma":0.00001836275,"domain_scores_codex":[0.9989728,0.00003356931,0.0004838432,0.0001161006,0.0001711844,0.0002225301],"domain_scores_gemma":[0.9995127,0.0001014282,0.00002414136,0.00009466714,0.0001658534,0.0001012664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001389274,0.0001379806,0.001306496,0.0000654226,0.0001394908,0.000001723259,0.0005895066,0.6037983,0.3932081,0.00002694397,0.00001529622,0.0005717797],"study_design_scores_gemma":[0.001442143,0.0001423321,0.001916949,0.00009733895,0.0002519945,0.000002181237,0.0001655961,0.5821613,0.4136672,0.0000438874,0.000007820578,0.0001012822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7785826,0.0001751758,0.2207434,0.00007857617,0.0001035059,0.0002536468,0.000008841903,0.0000133121,0.00004096431],"genre_scores_gemma":[0.9975824,0.00005792476,0.002229078,0.00002586819,0.00005294547,0.00001254743,7.296172e-7,0.00002221502,0.00001625021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2189999,"threshold_uncertainty_score":0.4943955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779125589278038,"score_gpt":0.2710578678839221,"score_spread":0.2532666119911416,"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."}}