{"id":"W4244092149","doi":"10.1515/iupac.76.0529","title":"Ultrasonics","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; Nanotechnology; 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":[0.001117511,0.00216764,0.001514183,0.005498797,0.0007913932,0.002778377,0.0020905,0.00152516,0.0850504],"category_scores_gemma":[0.007901548,0.0005091373,0.001345734,0.007721324,0.0003188088,0.002049325,0.002359033,0.001350717,0.1462753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146686,"about_ca_system_score_gemma":0.002404931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371578,"about_ca_topic_score_gemma":0.02022572,"domain_scores_codex":[0.9981693,0.0002634582,0.0002589657,0.0005576565,0.0005409953,0.0002096334],"domain_scores_gemma":[0.9974484,0.0006490111,0.0002756629,0.0006073169,0.0008602802,0.0001593898],"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":[0.0001711516,0.00003536152,0.002573655,0.002421836,0.00005176535,0.00004445156,0.00004105765,0.0005494092,0.0003632279,0.001328214,0.944224,0.04819581],"study_design_scores_gemma":[0.00006322079,0.00001946946,0.004411879,0.0004978138,0.00002737307,0.00007645704,0.00006798519,0.0003713641,0.0004218509,0.001554775,0.9924671,0.00002073356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003986445,0.000744504,0.0004691902,0.0001267406,0.0001101934,0.00003137314,0.9925605,0.001029323,0.004529622],"genre_scores_gemma":[0.0007659284,0.0005131403,0.0008174817,0.00008944867,0.00002757754,0.00007962348,0.9951951,0.0001022539,0.002409489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0850504,"threshold_uncertainty_score":0.2845219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007236612860066303,"score_gpt":0.331429015756722,"score_spread":0.3241924028966557,"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."}}