{"id":"W4240002187","doi":"10.1063/1.4816750.1","title":"10.1063/1.4816750.1","year":2013,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Fibrin; Microbubbles; Biophysics; Chemistry; Biomedical engineering; Ultrasound; Medicine; Biology; Physics; Acoustics; Immunology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008496718,0.003913215,0.00230856,0.003767013,0.0008984122,0.003052948,0.003764705,0.002982133,0.257294],"category_scores_gemma":[0.003278499,0.0007535984,0.001364317,0.007760613,0.0006471117,0.001610643,0.002467262,0.001780423,0.5313563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132367,"about_ca_system_score_gemma":0.001484136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01598432,"about_ca_topic_score_gemma":0.02020579,"domain_scores_codex":[0.9988647,0.0001732428,0.0001299016,0.0003433325,0.0003145155,0.0001744173],"domain_scores_gemma":[0.9992759,0.0001505585,0.00005681042,0.0002775713,0.0001605704,0.0000785775],"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":[0.0000736513,0.00004343177,0.001021699,0.001042195,0.00003694661,0.00004258519,0.00002383219,0.0006824028,0.0001922648,0.0003944408,0.9785702,0.01787645],"study_design_scores_gemma":[0.0001197611,0.00002730245,0.002320311,0.0002727417,0.00002218173,0.00008581291,0.00005792111,0.001386396,0.0005528023,0.001350193,0.993776,0.00002862164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002510865,0.0002749857,0.0003270372,0.00009946762,0.00007393357,0.00003397367,0.993934,0.002297126,0.002708473],"genre_scores_gemma":[0.000514286,0.0001685454,0.0004588614,0.00003686195,0.00001151669,0.0000882249,0.9967643,0.0001188066,0.001838516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.742706,"threshold_uncertainty_score":0.8607342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007327928571960318,"score_gpt":0.1967318379081782,"score_spread":0.1894039093362179,"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."}}