{"id":"W4214889476","doi":"10.1117/12.2608952","title":"Increased ablation efficiency in hard and soft tissues using an annular beam","year":2022,"lang":"en","type":"article","venue":"","topic":"Solid State Laser Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ablation; Materials science; Imaging phantom; Laser; Optics; Laser ablation; Beam (structure); Soft tissue; Biomedical engineering; Surgery; Physics; Medicine","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":[0.0001101586,0.00007158146,0.00008492618,0.0001560855,0.00006242625,0.00002108802,0.00008529768,0.00002882368,0.00006294197],"category_scores_gemma":[0.00002218352,0.00007968786,0.000007225379,0.0002410351,0.00001907004,0.0001481885,0.00006108137,0.0001040593,0.000001469192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006763079,"about_ca_system_score_gemma":0.000005690871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002862583,"about_ca_topic_score_gemma":0.00003188533,"domain_scores_codex":[0.9995292,0.00001432306,0.0001033301,0.0001211323,0.00009166309,0.0001403919],"domain_scores_gemma":[0.9998088,0.00002013393,0.000009643712,0.0001348952,0.000006641951,0.00001990779],"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":[0.000007053261,0.00006291759,0.03222958,0.00003336625,0.000009132285,0.00003296926,0.001474142,0.9011943,0.05975885,0.0001894062,0.0001150908,0.004893193],"study_design_scores_gemma":[0.000259496,0.00006060657,0.01817125,0.000005050278,0.00000474446,0.00001102198,0.002392059,0.9561957,0.0217806,0.0005308661,0.0004066125,0.0001820187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949849,0.0001923815,0.003747814,0.00001599093,0.00004417373,0.00009940108,0.000005855159,0.0006978267,0.0002116203],"genre_scores_gemma":[0.9976712,0.000008497498,0.002254685,0.00001321663,0.000006191852,0.00001097754,0.000008482294,0.00001479554,0.00001189321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05500138,"threshold_uncertainty_score":0.3249577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778235007271634,"score_gpt":0.2365115320341364,"score_spread":0.21872918196142,"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."}}