{"id":"W4233378696","doi":"10.21611/qirt.2010.085","title":"Quantitative analysis of dental tissue properties using photothermal radiometry","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada); University of Toronto","funders":"","keywords":"Radiometry; Photothermal therapy; Materials science; Remote sensing; Environmental science; Geology; Nanotechnology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005898446,0.0003839833,0.0008422388,0.002745294,0.0001235865,0.00004543094,0.0009141585,0.0002086715,0.0008165464],"category_scores_gemma":[0.0006049371,0.0002636082,0.0006839831,0.003190029,0.001579821,0.0003233748,0.0001332182,0.0007594805,0.000004631725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000040805,"about_ca_system_score_gemma":0.0001189418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363055,"about_ca_topic_score_gemma":0.0000138662,"domain_scores_codex":[0.9971769,0.00003683078,0.0008277163,0.0004544878,0.001185887,0.000318168],"domain_scores_gemma":[0.9960185,0.0001500263,0.001075584,0.0003274562,0.002303499,0.0001249937],"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":[0.001303484,0.0003208069,0.06166118,0.00007968346,0.003564592,0.000001572367,0.00188225,0.00001065236,0.8016204,0.1292534,0.00004761391,0.000254371],"study_design_scores_gemma":[0.002063181,0.001688036,0.2921439,0.00097623,0.002484437,0.00003613458,0.007536909,0.01523568,0.672438,0.004733241,0.0001312673,0.0005329896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759274,0.000102321,0.0001120736,0.0002945982,0.0008563433,0.0006911483,0.0002106029,0.00004636652,0.02175921],"genre_scores_gemma":[0.9917592,0.00004076829,0.007619964,0.0001705247,0.00006316516,0.00003426124,0.00001992752,0.00004487862,0.0002473521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304828,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06230200076519578,"score_gpt":0.3371157686121533,"score_spread":0.2748137678469575,"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."}}