{"id":"W4244565155","doi":"10.1515/iupac.76.0498","title":"Acoustic Ringing","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Photothermal therapy; Optics; Photothermal spectroscopy; Materials science; Physics","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":[0.0008018803,0.001984325,0.001251203,0.004220004,0.0008371179,0.002268312,0.001839083,0.001647926,0.04348407],"category_scores_gemma":[0.006257439,0.0004562169,0.00150646,0.004955347,0.0003443087,0.001678198,0.001784962,0.001216533,0.07138224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092244,"about_ca_system_score_gemma":0.001918137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110093,"about_ca_topic_score_gemma":0.03957297,"domain_scores_codex":[0.9986334,0.0001870133,0.0001936196,0.0004566849,0.0003649112,0.0001643359],"domain_scores_gemma":[0.997946,0.0005554268,0.0002676393,0.000533912,0.0005782724,0.0001187341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002917226,0.00005864196,0.006144998,0.002898819,0.0001034604,0.00009700501,0.00005769141,0.001349789,0.0005648416,0.001537624,0.9502478,0.03664767],"study_design_scores_gemma":[0.00009065896,0.00003237743,0.01065229,0.0006897848,0.00005973084,0.0001366542,0.0001251227,0.001074377,0.0009235087,0.001783798,0.9843878,0.00004403255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000815594,0.0006588179,0.0004143155,0.0001029605,0.0001084702,0.00002903397,0.9939212,0.0007229595,0.003226635],"genre_scores_gemma":[0.001618065,0.0004445974,0.0008884965,0.00007541585,0.00002488621,0.00008282139,0.9948384,0.00007768095,0.001949624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04348407,"threshold_uncertainty_score":0.1454687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00746742516484213,"score_gpt":0.3295440410157713,"score_spread":0.3220766158509292,"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."}}