{"id":"W2134900994","doi":"10.1109/ccece.2006.277724","title":"Uncertainty and Sensitivity Analysis for a Tissue Laser-Irradiation Tissue Model","year":2006,"lang":"en","type":"article","venue":"","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sensitivity (control systems); Thermal conductivity; Irradiation; Uncertainty analysis; Laser; Materials science; Variance (accounting); Linear model; Thermal; Biological system; Control theory (sociology); Statistics; Computer science; Mathematics; Control (management); Thermodynamics; Physics; Optics; Engineering; Composite material; Artificial intelligence; Electronic engineering","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":[0.005486027,0.001054132,0.001124453,0.001267722,0.0004674545,0.001154274,0.0007531819,0.001142076,0.001455687],"category_scores_gemma":[0.01306401,0.0005191353,0.001502576,0.0006556623,0.0007819526,0.0008356153,0.001224104,0.001237672,0.000127574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746044,"about_ca_system_score_gemma":0.001062219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008753669,"about_ca_topic_score_gemma":0.003057974,"domain_scores_codex":[0.9975498,0.001249265,0.00007397636,0.0002999079,0.0006230953,0.0002039127],"domain_scores_gemma":[0.9850259,0.0132432,0.0005300663,0.0003995557,0.0007271736,0.00007406758],"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":[0.00003334981,0.00001032745,0.0002093994,0.00002639596,0.0000255876,0.00002919088,0.0000123321,0.9953151,0.000929188,0.001731337,0.00004888454,0.001628913],"study_design_scores_gemma":[0.000003175784,0.0000235152,0.0001891213,0.000003968053,0.00001276643,0.00001056452,0.000005955754,0.9974189,0.0007431268,0.001493498,0.00008626508,0.000009245201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1121284,0.0005937501,0.8816065,0.0004345603,0.0000334266,0.000131237,0.0003607352,0.0004358792,0.004275594],"genre_scores_gemma":[0.972146,0.0002571748,0.02564984,0.00006705865,0.00001482407,0.0001678878,0.0001900369,0.00005883897,0.001448358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008753669,"threshold_uncertainty_score":0.02901322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008632292554524204,"score_gpt":0.2340113235793131,"score_spread":0.2253790310247889,"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."}}