{"id":"W4388738840","doi":"10.1039/d3lf00156c","title":"Developing 3D computational models to capture the spatial, temporal and thermal behavior as laser beams propagate through photo-thermally responsive gels","year":2023,"lang":"en","type":"article","venue":"RSC Applied Interfaces","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Center for Research Computing, University of Pittsburgh; Army Research Office; University of Pittsburgh; National Science Foundation","keywords":"Thermal; Laser; Materials science; Laser beams; Optics; Computer science; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005950165,0.0008167502,0.0007846334,0.0007051612,0.0008722354,0.001863215,0.001565016,0.002676724,0.004167012],"category_scores_gemma":[0.003177727,0.0009514676,0.001140809,0.0008006193,0.0008228767,0.0009716293,0.001049623,0.001420243,0.0006115924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151883,"about_ca_system_score_gemma":0.00241178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03165204,"about_ca_topic_score_gemma":0.02860746,"domain_scores_codex":[0.9998145,0.00005513758,0.00001050333,0.00002879761,0.00005451637,0.00003663663],"domain_scores_gemma":[0.9988586,0.0007112516,0.00009462793,0.00008464793,0.00016555,0.00008534169],"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":[0.00001252108,0.00002116693,0.0004340951,0.0000207782,0.00001302841,0.00003051592,0.00001631706,0.9961534,0.0002966449,0.001853046,0.0002866863,0.0008617803],"study_design_scores_gemma":[0.000004075128,0.000001600879,0.00003003466,0.000002897917,0.000001702865,0.000001927263,0.000004806833,0.9992773,0.00007619156,0.000415148,0.0001820986,0.000002227764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249175,0.001412792,0.5191676,0.003249205,0.0005623793,0.0004340346,0.004711152,0.002051769,0.04349352],"genre_scores_gemma":[0.8348452,0.000868769,0.1504457,0.0006062709,0.0001039944,0.001286856,0.002579788,0.0004904359,0.008772922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03165204,"threshold_uncertainty_score":0.06293559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506451387101759,"score_gpt":0.2670603031584161,"score_spread":0.2419957892873985,"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."}}