{"id":"W2013092426","doi":"10.1007/s10103-013-1434-y","title":"Optoacoustic monitoring of cutting efficiency and thermal damage during laser ablation","year":2013,"lang":"en","type":"article","venue":"Lasers in Medical Science","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Laser; Materials science; Ablation; Collateral damage; Transducer; Ultrasonic sensor; Optics; Biomedical engineering; SIGNAL (programming language); Acoustics; Medicine; Computer science","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":[0.0002291562,0.0001909218,0.000220414,0.0004011063,0.0002567857,0.0002972559,0.0002781463,0.0004568243,0.0008782624],"category_scores_gemma":[0.000961943,0.0002133635,0.0001567526,0.00034564,0.0003561462,0.0003892337,0.000181649,0.0004418942,0.0001643048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154063,"about_ca_system_score_gemma":0.0002264616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086104,"about_ca_topic_score_gemma":0.001397391,"domain_scores_codex":[0.9996995,0.00003940026,0.00001252464,0.00004838298,0.0001461842,0.00005407321],"domain_scores_gemma":[0.9993303,0.0003451418,0.0001008741,0.0000420827,0.0001340484,0.00004758609],"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":[0.001629363,0.00006384181,0.004360386,0.00004236573,0.00001135347,0.000107367,0.0001393468,0.0002952142,0.9830332,0.00006305514,0.00006467036,0.01018972],"study_design_scores_gemma":[0.0000533017,0.001216619,0.09118537,0.0000103515,0.00005163247,0.001203781,0.0002223498,0.005302814,0.8999113,0.0001482614,0.0006618159,0.00003241513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916514,0.0005641721,0.006645623,0.00003100701,0.00002265966,0.00002382549,0.00007377637,0.00006043474,0.0009270661],"genre_scores_gemma":[0.9973075,0.0001879447,0.00185793,0.00002422447,0.000009886439,0.00001654742,0.00004458984,0.00001352185,0.0005377279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001086104,"threshold_uncertainty_score":0.002938092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00425014905436016,"score_gpt":0.2231808912870489,"score_spread":0.2189307422326888,"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."}}